high-performance-storage

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Congratulations to the 2023 APAC Innovation Award Winners

I’m thrilled to announce the nine winners of the 2023 MongoDB APAC Innovation Awards . The MongoDB Innovation Awards honor projects and people who dream big. They celebrate the groundbreaking use of data to build compelling applications and the creativity of professionals expanding the limits of technology with MongoDB. This year, we have broken the awards down regionally to celebrate organizations in APAC, from startups to industry-leading enterprises, across a wide variety of industries, who are delivering big results. We are delighted to announce the winners below: 2023 MongoDB APAC Innovation Award Winners: Positive Impact Open Government Products Open Government Products (OGP) is an in-house team of engineers, designers, and product managers, who is a part of the Singapore Government, and is responsible for building technologies for the public good. OGP used MongoDB’s developer data platform, MongoDB Atlas to create its digital form builder, FormSG. Used by the Singapore government and public healthcare institutions, FormSG securely collects data from residents and businesses and helps public officers to create digital government forms in minutes. It eliminates the use of paper forms and the manual process of transcribing physical documents, which had raised concerns around data privacy and protection. During the pandemic, FormSG enabled public officers to collect more than 100,000 daily temperature declarations nationwide. Today, FormSG has served more than 120,000 public officers from 155 agencies and it has created more than 500,000 digital forms to help the government collect data on travel and health declarations by visitors to the country, applications for COVID-19 swab tests, and applications for financial assistance. Organization Transformation Bendigo and Adelaide Bank Bendigo and Adelaide Bank is one of Australia’s largest banks, with around 7,000 employees helping more than 2.2 million customers achieve their financial goals. The bank has been on a multi-year journey of transformation using MongoDB's developer data platform to improve efficiency and deliver a better customer experience as they fulfill their vision to become Australia’s bank of choice. Recently, the cloud team launched Ready-Set-MongoDB (or RSM). This event-driven framework allows developers to streamline the consumption of internal or external APIs, and applies data transformations and storage automatically within a MongoDB collection of their choice. Using MongoDB Atlas Search, the bank also enabled developers to gain insights across its multi-cloud deployments, identifying cost savings, and providing inventory information to account owners and technical stakeholders. Within the first 18 months of launching these programmes, the automation had saved the organization more than 1,100 developers days. It also helped reduce human involvement, removed stale data, and allowed engineers to focus on the things that matter. The development of Ready-Set-MongoDB is ongoing and improving, as new Bendigo multi-cloud challenges arise and new MongoDB products are released. The application is a perfect representation of how Bendigo's Technology Department is using modern technology, rapid development, and innovation-led problem solving to drive organizational transformation. Heroes in Health Redcliffe Lifetech Private Limited Over the last few years, Redcliffe Labs has become India's fastest growing technology-driven diagnostics service provider. Redcliffe Labs is on a mission to serve 500 Million Indians by 2030 with fusion of technology and world- class laboratories. The company already serves thousands of people daily, with more than 73 labs and close to 1500 walk-in centers across 180 cities. Redcliffe Labs has relied on MongoDB Atlas’ flexible document model to power its innovative Smart Health Report, a patient resource that provides a number of indicators and trackers to gauge holistic health. The MongoDB developer data platform's best in class security, compliance, and privacy controls allows Redcliffe's team to confidently handle even the most sensitive patient data. MongoDB Atlas takes care of many of the traditional database management challenges, which means that developers can spend their time building diagnostics for patients, rather than managing databases. Redcliffe Labs is focusing on incorporating next-generation technologies in the diagnostics space with an AI platform that will make Interactive Diagnostics reports, Advanced Health Profiling and more detailed Diagnostics and Health Alerts. Industry Disruptor Cathay Pacific Cathay Pacific , Hong Kong’s home carrier operating in more than 60 destinations worldwide, has been on an impressive journey to become one of the very first airlines to create a truly paperless flight deck. Until recently, a flight from Hong Kong to New York would require a crew to review more than 150 pages of finely printed text and charts before their flight and make ongoing updates throughout the trip. In 2019, Cathay Pacific conducted the first zero paper flight, removing 50kg of manuals, charts, maps, and flight briefing paperwork. They achieved this enormous feat with the help of one seamless and highly customized iPad application: Flight Folder. Built on MongoDB Atlas, Flight Folder is designed to improve the pilot briefing experience. MongoDB helped consolidate dozens of different information sources into one place, and made it possible for flight crews to easily share their experiences with others. It also included a digital refueling feature that helps crews become much more efficient with fueling strategies – saving significant flight time and costs. The use of MongoDB Device Sync enables seamless syncing and no data loss even when the app goes on- and offline mid-flight. Since the Flight Folder launch, Cathay Pacific has completed more than 340,000 flights with full digital integration in the flight deck. In addition to the greatly improved flight crew experience, flight times have been reduced, and digital refueling saves eight minutes of ground time on average. All these efficiencies have helped the company avoid the release of 15,000 tons of carbon. From Batch to Real-Time Adani Digital Labs Adani Digital Labs is the India-based digital innovation arm of the larger Adani group. The lab’s team's mission is to create one single platform – a SuperApp called AdaniOne – to empower a billion stories in India. To address several use cases and the huge scale that will be required by the superapp, the Adani Digital team selected MongoDB Atlas as its the main transactional database that will further enhance the application. A key component of the app is how it can bring together disparate data in order to provide a single view of activity across the application. In the first process, developers had taken out the data in batches and sent it to their database However, this was too slow and unpredictable as far as business requirements are concerned. Also, the consolidated view of customer history, orders, inventory, and supply chain network updates was likely to impact their customer's ability to generate revenue. Therefore, in order to find a better solution, Adani Digital Labs built a more modern architecture in line with MongoDB. Using MongoDB's Change Streams and the data platform's native Kafka connector, they created an event-based architecture that pushes the data out in real-time for analysis. Adani Digital Labs is still in the early phases of the SuperApp's rollout and collaborating with MongoDB as its developer data platform continues to help the firm to grow and deliver insights in real time. Industry 4.0 Dongwha Founded in 1948, the Dongwha Group has evolved from a singular focus on the wood and timber industry into a global leader across a number of sectors including building materials, chemicals and media. As part of its wider digital transformation strategy, Dongwha required smarter factories that would improve and optimize their production efficiency. Dongwha built an innovative Smart Factory Software platform that collects and analyzes data to enhance quality and production management capabilities. Originally, the platform was built with the community version of MongoDB. However, in order to scale and adapt, the team recently migrated to MongoDB Atlas in the cloud. This enabled them to store large volumes in the fastest and most secure way, optimize their solution for time series data, and make it easy to run machine learning across their data. Dongwha completed the migration seamlessly, without any disruption or downtime to their factories, and it has now been launched across five different sites. Over the last year, the application has significantly increased its availability and reliability while performance has improved by as much as 6x . As they look to the future, Dongwha plans to roll out the software to more of its international factories. Digital Native myBillBook India is home to more than 60 million small and medium-sized businesses (SMBs) but only a small portion of those SMBs are taking advantage of digitization and many still operate using pen and paper. In addition, many businesses in India still struggle with fluctuations in internet services, outages, and latency. FloBiz is on a mission to change that with myBillBook , a one-stop solution that helps SMBs create professional invoices, manage stock, collect payments, automate reminders through smart banking, engage with their customers, manage staff attendance and payroll and generate more than 25 business reports for accounting and decision making. The app is also mobile-first, so businesses can access them from their mobile devices and allows users to manage billing and inventory in both online and offline environments. The myBillbook app is powered by MongoDB Atlas, providing the flexible and scalable foundation for the business to do everything from building new features to performing complex analytical queries. In addition, MongoDB Realm, the mobile database within the data platform, supports offline usage and syncing to ensure there is never data loss or functionality for users due to poor internet connection. Because of its success in supporting customers with business critical operations, more than 6.5 million business owners in India are now using myBillbook for their billing, accounting, collection and business growth. Customer Focused KASIKORN Business-Technology Group Established in 1945, Kasikornbank (KBank) is one of the largest and oldest banks in Thailand. Their mission is to strive towards service excellence and empower every customer’s life and business. One of KBank’s subsidiaries, KASIKORN Business-Technology Group (KBTG) , developed a mobile banking application – MAKE by KBank. MongoDB Atlas’ flexibility and ease of development enabled MAKE’s development team to choose the best type of database for its tasks, to automate data tiering with Atlas Online Archive, and to reduce hours spent on operational maintenance. With more time to focus on delivering new innovations to customers, they created unique features like Cloud Pocket which can allocate funds into unlimited customizable pockets for separate usage. They also built Pop Pay, a feature that allows users to easily search for nearby friends and transfer money by clicking their profile picture as well as “Expense Summary" a spending analysis services that helps inform and manage users’ financial habits. As of January 2023, MAKE has acquired more than 1 million users, and increased the number of transactions in MAKE from 900,000 to more than 7.5 million in a span of one year. Massive Scale China Mobile China Mobile provides mobile voice and multimedia services via its nationwide mobile telecommunications network across mainland China and Hong Kong. It is the world's largest mobile network operator by total number of subscribers. The telecommunications leader is using MongoDB to support one of its largest and most critical push services, which sends out billing details to more than 1 billion users every month. Prior to MongoDB, the tech team relied on Oracle, but as the user numbers increased, performance degraded. Despite large investments, it was still taking too long to do basic requests like finalize and deliver bills to users. In 2019, after comprehensive testing, China Mobile migrated to MongoDB. By taking advantage of MongoDB's native sharding, they were able to improve performance by 80% and go from 50 Oracle machines, to just 12 machines for the same workload. The service now handles all current requirements and is set up to scale with future growth. With the support of MongoDB, China Mobile is growing steadily,with more than 168 million monthly users and has one of the highest customer satisfaction scores in the China Mobile group.

March 30, 2023

2023 APAC Innovation Award 수상자 축하 메시지

드디어 2023 MongoDB APAC Innovation Awards 에 선정된 9명의 수상자를 발표하게 되었습니다. MongoDB Innovation Award는 큰 꿈을 가진 기업인과 프로젝트에게 수여되는 상으로, 데이터를 획기적인 방식으로 활용하여 우수한 애플리케이션을 구축하고 MongoDB를 통해 기술의 한계를 넓힌 전문가들의 창의력을 치하합니다. 다양한 산업 부문에 걸쳐 스타트업에서부터 업계를 선도하는 기업에 이르기까지 원대한 포부를 갖고 큰 성과를 거둔 아시아 태평양 지역의 기업들을 치하하기 위해 올해에는 수상 부문을 지역별로 세분화하였습니다. 수상자는 아래와 같습니다. MongoDB APAC Innovation Award 수상자: Positive Impact Award 부문 Open Government Products OGP(Open Government Products) 는 싱가포르 정부 소속으로 공익을 위한 기술 개발을 담당하고 있는 엔지니어와 설계자 및 제품 관리자로 구성된 내부 개발 팀입니다. OGP는 MongoDB의 개발자 데이터 플랫폼인 MongoDB Atlas를 이용해 FormSG라는 디지털 서식 빌더를 개발했습니다. 싱가포르 정부와 공공 의료 기관에서 사용되고 있는 FormSG는 주민과 기업의 데이터를 안전하게 수집하여 공무원이 디지털 정부 서식을 몇 분 만에 작성할 수 있도록 지원하는 소프트웨어입니다. FormSG를 사용하면 데이터를 서류 양식을 일일이 수동으로 작성할 필요가 없기 때문에 개인정보 및 보호에 관한 우려가 해소됩니다. 팬데믹 기간 동안 공무원들은 FormSG를 사용해 전국의 일일 기온 정보를 십만 건 이상 수집할 수 있었습니다. 현재까지 155곳의 기관에서 12만 명 이상의 공무원들이 FormSG를 이용해 50만 개 이상의 디지털 서식을 작성하였으며, 이를 통해 싱가포르 정부는 자국에 입국하는 방문객들의 여행 및 건강 정보와 COVID19 검사 및 재정 지원 신청에 관한 자료를 수집할 수 있었습니다. Organizational Transformation 부문 Bendigo and Adelaide Bank Bendigo and Adelaide Bank 는 호주에서 가장 큰 은행 중 하나로 7천여 명의 직원을 보유하고 있으며, 220만 명 이상의 고객이 재무 목표를 달성할 수 있도록 지원하고 있습니다. 이 은행은 호주의 대표 은행으로 거듭난다는 사명 하에 MongoDB의 개발자 데이터 플랫폼을 이용해 효율성을 높이고 더 나은 고객 경험을 선사하기 위한 다년 간의 혁신 여정을 진행 중입니다. 최근 이 은행의 클라우드 담당 팀에서는 Ready-Set-MongoDB(RSM)를 출시했습니다. 이벤트 중심의 이 프레임워크를 통해 개발자는 내/외부 API의 소비를 간소화하고 원하는 MongoDB 컬렉션 내에 데이터 변환 및 저장을 자동으로 적용할 수 있습니다. 이 은행은 MongoDB Atlas Search를 사용하여 개발자들이 자사의 멀티 클라우드 배포 환경에 대한 인사이트를 확보하고 비용 절감 여부를 식별하며 계정 소유자와 기술 이해 관계자들에게 목록 정보를 제공하도록 지원했습니다. 이들 프로그램을 시작한 후 첫 18개월 동안 자동화 덕분에 개발자의 업무 시간이 1,100일이나 줄어들었습니다. 또한 인적 개입이 줄어들고 오래된 데이터가 사라졌으며 엔지니어가 중요한 업무에 매진할 수 있게 되었습니다. Bendigo 멀티 클라우드의 새로운 과제가 등장하고 MongoDB 신제품이 출시됨에 따라 현재 Ready-Set-MongoDB를 개발 중이며 성능을 개선 중입니다. Ready-Set-MongoDB는 Bendigo의 기술 부서가 최신 기술 활용과 빠른 개발 및 혁신 기반의 문제 해결을 통해 조직의 혁신을 도모하는 과정을 잘 보여주는 애플리케이션입니다. Heroes in Health Award 부문 Redcliffe Lifetech Private Limited Redcliffe Labs 는 지난 몇 년 간 인도에서 가장 빠르게 성장한 기술 중심 진단 서비스 업체로 성장했습니다. Redcliffe Labs는 기술과 세계 정상급 실험실을 융합하여 2030년까지 5억 명의 인도인에게 서비스를 제공한다는 사명감을 갖고 있습니다. 이 회사는 현재 180 개 도시에 걸쳐 73 곳 이상의 실험실과 1,500여 개의 워크인 센터에서 매일 수천 명의 사람들에게 진단 서비스를 제공하고 있습니다. Redcliffe Labs는 MongoDB Atlas의 유연한 문서 모델을 이용해 자사의 혁신적인 Smart Health Report를 실행하고 있습니다. 이 Report는 다수의 지표와 추적기로 전반적인 건강 상태를 측정할 수 있도록 지원하는 환자 리소스입니다. 동급 최고의 보안과 컴플라이언스 및 프라이버시 제어를 제공하는 MongoDB 개발자 데이터 플랫폼 덕분에 Redcliffe 개발 팀은 가장 중요한 환자 데이터까지도 자신 있게 처리할 수 있게 되었습니다. MongoDB Atlas가 기존의 데이터베이스 관리 문제를 대다수 해결해주기 때문에 개발자가 데이터베이스 관리 대신, 환자 진단 시스템을 구축하는 데 집중할 수 있습니다. Redcliffe Labs는 AI 플랫폼을 통해 진단 영역에 차세대 기술을 통합하여 대화형 진단 보고서와 고급 건강 프로파일링 및 보다 상세한 진단 및 건강 알림 시스템을 개발하는 데 주력하고 있습니다. Industry Disruptor Award 부문 Cathay Pacific 전 세계 60 개 이상의 취항지를 운항하고 있는 홍콩 국적기인 Cathay Pacific은 종이 서류를 일체 사용하지 않는 조종실을 보유한 최초의 항공사 중 하나로 거듭나기 위한 여정을 진행하고 있습니다. 최근까지 홍콩발 뉴욕 비행에서는 승무원이 이륙하기 전에 글자와 차트가 빼곡히 인쇄된 150 페이지 이상의 서류를 일일이 검토하여 비행 내내 정보를 계속 업데이트해야 했습니다. 2019년에 Cathay Pacific 은 처음으로 제로 페이퍼 비행 정책을 실시하여 50kg에 달하는 매뉴얼과 차트, 지도 및 비행 브리핑 문서를 없앴습니다. 이렇게 대대적인 혁신을 이룰 수 있었던 것은 고도로 커스터마이징된 아이패드 애플리케이션인 Flight Folder의 원활한 프로세스 덕분이었습니다. MongoDB Atlas에 기반한 Flight Folder는 조종사의 브리핑 경험을 개선하도록 설계되었습니다. MongoDB가 수십 개의 서로 다른 정보 소스를 한 곳에 통합해준 덕분에 승무원들이 비행 경험을 동료들과 손쉽게 공유할 수 있었습니다. 또한 디지털 급유 기능이 포함되어 있어 승무원이 급유 전략을 훨씬 효율적으로 시행하여 비행 시간과 비용을 대폭 절약할 수 있습니다. MongoDB Device Sync를 사용하면 비행 중에 앱을 원활하게 동기화할 수 있고, 오프라인 상태가 되더라도 데이터가 손실되지 않습니다. Flight Folder를 사용하기 시작한 이후로 Cathay Pacific은 조종실을 전면 디지털화하여 34만 건 이상의 비행을 무사히 마쳤습니다. 승무원의 비행 경험이 대폭 향상된 것은 물론, 비행 시간이 줄어들었고 디지털 급유 기능 덕분에 지상에서 머무르는 시간이 평균 8분가량 줄어들었습니다. 이러한 효율성을 달성하면서 Cathay Pacific은 탄소 배출량을 1만 5천 톤가량 줄일 수 있었습니다. From Batch to Real-Time 부문 Adani Digital Labs Adani Digital Labs 은 인도에 소재한 Adani 그룹의 디지털 혁신 자회사입니다. 이 회사 개발 팀의 사명은 AdaniOne이라는 이름의 슈퍼앱(SuperApp)을 단일 플랫폼 형태로 개발하여 인도 내 십억 명의 이야기를 지원하는 것입니다. 여러 가지 사용 사례와 슈퍼앱에서 이루어질 확장 문제를 해결하기 위해 Adani Digital 팀은 애플리케이션의 성능을 개산할 주요 거래 데이터베이스로 MongoDB Atlas를 선정했습니다. 이 앱의 주요 구성 요소는 애플리케이션 전반의 활동을 한 눈에 보여주기 위해 상이한 데이터를 취합하는 방법입니다. 첫 번째 프로세스에서 개발자들은 데이터를 배치로 가져와 자사의 데이터베이스에 전송했는데, 비즈니스 요구사항 측면에서 속도가 너무 느리고 예측하기 어려웠습니다. 또한 고객 이력과 주문, 목록 및 공급망 네트워크 업데이트에 관한 통합 뷰가 고객의 수익 창출 능력에 영향을 줄 가능성이 있었습니다. 따라서 더 나은 솔루션을 찾기 위해 Adani Digital Labs은 MongoDB에 걸맞는 최신 아키텍처를 구축했습니다. MongoDB의 Change Streams와 데이터 플랫폼의 네이티브 Kafka 커넥터를 이용해 분석용 데이터를 실시간으로 산출하는 이벤트 기반 아키텍처를 제작했습니다. Adani Digital Labs은 아직까지 슈퍼앱의 롤아웃 초기 단계에 있으며, 개발자 데이터 플랫폼을 통해 조직의 성장을 도모하고 인사이트를 실시간으로 제공하면서 MongoDB와 협업하고 있습니다. Industry 4.0 부문 Dongwha 1948년 설립된 동화그룹 은 목재 산업을 바탕으로 성장했으며, 건장재 등 고부가 가치 제품군으로 사업의 수직 계열화를 이루며 마켓 리더로서 공고히 자리매김했습니다. 현재는 소재는 물론 화학, 오토라이프, 미디어까지 사업 영역을 확대했습니다. 동화 그룹은 폭넓은 디지털 전환 전략의 일환으로, 자사의 생산 효율성을 개선 및 최적화할 스마트 팩토리가 필요했습니다. 이에 데이터를 수집 및 분석하여 품질과 제품 관리 기능을 개선하는 혁신적인 Smart Factory Software 플랫폼을 구축했습니다. 이 플랫폼은 본래 MongoDB 커뮤니티 버전으로 구축되었다가 확장과 조정을 위해 최근 클라우드 기반의 MongoDB Atlas로 마이그레이션했습니다. 이를 통해 대량의 데이터를 가장 빠르고 안전하게 저장할 수 있게 되었고, 솔루션을 시계열 데이터에 맞게 최적화하며, 데이터 전반에서 머신러닝을 손쉽게 실행할 수 있게 되었습니다. 동화 그룹은 다운타임 및 공장 가동 중지 없이 마이그레이션 함으로써 애플리케이션의 신뢰성과 가용성이 크게 향상되었을 뿐만 아니라 기존 AWS EC2에 직접 설치된 Single Node MongoDB 대비 데이터 조회 성능이 6배나 향상되었습니다. 동화기업은 국내 3개 사업장과 해외 2개 사업장에 스마트팩토리를 성공적으로 구현하였으며, 이러한 경험을 바탕으로 향후에는 공장 최적화를 위한 데이터 분석 영역으로 스마트 팩토리 소프트웨어를 확장해 나갈 계획입니다. Digital Native 부문 myBillBook 인도는 6천만 개 이상의 중소 기업이 모여 있는 SMB의 본고장이지만 디지털화의 이점을 누리고 있는 기업들은 이들 중 소수에 불과하며 아직도 대다수가 업무에 펜과 종이를 사용하고 있습니다. 게다가 인도에 소재한 대부분의 기업들이 여전히 인터넷 서비스와 중단 및 지연에 따른 변동에 시달리고 있습니다. FloBiz는 원스톱 솔루션인 myBillBook을 통해 이 문제를 해결한다는 사명을 안고 있습니다. myBillBook 는 SMB를 대상으로 전문 인보이스 작성, 재고 관리, 대금 회수, 스마트 뱅킹을 통한 알림 자동화, 고객과의 교류, 직원 출근 및 급여 지급 관리, 회계 처리 및 의사 결정을 위한 25개 이상의 비즈니스 보고서 생성을 지원하는 솔루션입니다. 이 앱은 모바일에 최적화된 환경이기 때문에 기업이 모바일 기기에서 액세스할 수 있고 사용자들이 온/오프라인 환경 모두에서 대금 지급과 재고를 관리할 수 있습니다. MongoDB Atlas에서 실행되는 myBillbook 앱은 새 기능 개발에서부터 복잡한 분석 쿼리 수행에 이르기까지 기업이 모든 작업을 수행할 수 있는 유연하고 확장 가능한 기반을 제공합니다. 또한 데이터 플랫폼에서 제공되는 모바일 데이터베이스인 MongoDB Realm은 오프라인 사용 및 동기화를 지원하여 인터넷 연결이 불안정한 상태에서도 데이터 손실이나 기능 저하가 발생하지 않습니다. 비즈니스 핵심 업무를 담당하는 고객을 성공적으로 지원한 결과, 현재 650만 곳의 인도 기업들이 대금 청구와 회계 처리 및 대금 회수에 myBillbook을 이용하고 있으며 비즈니스 성장을 도모하고 있습니다. Customer Focused 부문 KASIKORN Business-Technology Group 1945년에 설립된 Kasikornbank(KBank)는 태국에서 가장 오래되고 규모가 큰 은행 중 한 곳입니다. 이 은행의 사명은 서비스 우수성을 달성하고 모든 고객의 삶과 비즈니스를 지원하는 것입니다. KBank의 자회사 중 한 곳인 KASIKORN Business-Technology Group(KBTG) 은 MAKE by KBank라는 모바일 뱅킹 애플리케이션을 개발했습니다. MongoDB Atlas의 유연성과 개발 용이성 덕분에 MAKE의 개발 팀은 업무에 가장 적합한 데이터베이스를 선정하고 Atlas Online Archive를 통해 데이터 티어링을 자동화하며 운영 유지 보수 소요 시간을 절감할 수 있었습니다. 이로써 새로운 혁신 기능 개발에 집중하게 되면서 사용자 지정 가능한 무제한 포켓에 자금을 할당하여 별도로 사용할 수 있도록 지원하는 Cloud Pocket과 같은 고유한 기능을 개발하게 되었습니다. 이 외에도, 사용자가 주변에 있는 친구를 검색해 프로필 사진을 클릭하여 돈을 간편하게 송금할 수 있는 Pop Pay라는 기능을 개발하였고, 사용자의 재정 관리 습관을 알려주고 이를 관리할 수 있는 지출 분석 서비스인 "Expense Summary"를 개발했습니다. 2023년 1월을 기준으로 MAKE는 현재 백만 명 이상의 사용자를 보유하고 있으며, MAKE의 거래 건수는 일년 동안 90만 건에서 750만 건 이상으로 늘었습니다. Massive Scale 부문 China Mobile China Mobile 은 중국 본토와 홍콩 전역의 모바일 통신 네트워크를 통해 모바일 음성 및 멀티미디어 서비스를 제공하는 회사로, 총 가입자 수 기준으로 세계 최대 규모의 모바일 네트워크 사업자입니다. 통신 분야를 선도하고 있는 이 회사는 MongoDB를 이용해, 매달 10억 명 이상의 사용자에게 상세 대금 청구서를 발송하는 자사의 가장 큰 핵심 푸시 서비스 중 하나를 지원하고 있습니다. MongoDB를 도입하기 전에는 Oracle을 이용했는데, 사용자 수가 늘자 성능이 저하되는 문제가 발생했습니다. 설비에 대규모로 투자했음에도 불구하고, 대금 청구서를 작성해 사용자에게 전송하는 것과 같은 기본적인 요청을 하는 데에도 너무 오랜 시간이 걸렸습니다. 2019년에 종합 테스트를 거친 후 China Mobile은 MongoDB로 마이그레이션했습니다. MongoDB의 네이티브 샤딩 기술을 이용하자 성능이 80% 향상되었고, 50대의 Oracle 장비로 처리하던 워크로드를 단 12의 장비로 처리할 수 있게 되었습니다. 이 서비스는 현재 모든 요구사항을 처리하고 있으며 향후 규모 증가에 맞게 확장하도록 설계되어 있습니다. MongoDB의 지원 덕분에 China Mobile은 꾸준한 성장세를 이어오고 있으며, 1억 6천8백만 명의 월간 사용자를 확보하였고 China Mobile 그룹에서 고객 만족도 점수가 가장 높은 지사 중 한 곳이 되었습니다.

March 30, 2023

恭喜 2023 年 MongoDB 亞太地區創新獎得主

我很高興在此宣布 2023 年 MongoDB 亞太地區創新獎的九組優勝團隊。MongoDB 創新獎是為了表揚勇於挑戰的專案及人員，他們以前所未有的手法運用資料，建立非常實用的應用程式，而這些專業人士的創意，拓展了 MongoDB 技術的應用框架。今年比賽以區域做區分，是因為我們知道亞太地區有許多橫跨不同產業的公司，有的是新創、有的是業界領先企業，他們的共通點是勇於挑戰和創新，並努力交出更漂亮的成績單。以下是今年的創新獎得主： 2023 年 MongoDB 亞太地區創新獎得主： 正面影響 (Positive Impact) Open Government Products Open Government Products (OGP) 是新加坡政府內部的團隊，由一群工程師、設計師及產品經理組成。團隊負責為公眾福祉建構相關的技術。。OGP 使用 MongoDB 的開發者數據平台 MongoDB Atlas，建構了數位表格生成器 FormSG。新加坡政府及公共醫療單位透過使用 FormSG ，在安全的環境下，搜集民眾、店家及公司的資料，協助政府人員快速建立政府數位表單。FormSG 取代了過去可能會造成資料安全及隱私問題的紙本表單以及人工處理文件的過程。而在新冠疫情期間，因為有 FormSG，政府人員得以搜集每日超過十萬筆的全國每日體溫申報。現在有來自 155 個單位、超過 12 萬名的政府人員使用 FormSG，建立超過 50 萬份數位表單，幫助政府搜集來到新加坡的旅客的旅遊及健康申報，同時也應用在新冠肺炎檢驗和資金補助上。 組織轉型 (Organizational Transformation) Bendigo and Adelaide Bank Bendigo and Adelaide Bank 是澳洲最大的銀行之一，擁有約 7000 名員工，服務超過 220 萬位客戶，協助他們達成財務目標。班迪戈銀行目前正在執行多年的轉型計畫，透過 MongoDB 的開發者資料平台改善工作效率，滿足客戶要求，提供更好的使用體驗，以期望能成為澳洲銀行的第一選擇。 近期雲端團隊推出事件導向的架構 Ready-Set-MongoDB (RSM)，允許開發人員簡化內部或外部API的使用，並自動應用數據轉換和存儲到他們選擇的MongoDB叢集中。而有了 MongoDB Atlas Search，銀行的開發者可以從多雲部署中汲取洞見，找出可節約的成本，並提供帳戶所有人和技術資源相關資產庫存。 推出這項計劃的前 18 個月裡，自動化替組織的工程師省下了 1100 個工作天，同時也降低人工介入、移除過時資料，讓工程師可以關注在更重要的工作上。因為 Bendigo and Adelaide Bank 多雲上出現的新挑戰，而且 MongoDB 也推出了新產品，所以 Ready-Set-MongoDB 的研發仍是進行式，不斷調整及改善。這項應用可以體現班迪戈銀行資訊部門是如何應用現代技術、快速開發以及創新為導向的問題解決方法，推動組織轉型。 醫療英雄 (Heroes in Health) Redcliffe Lifetech Private Limited 在過去幾年的時間裡， Redcliffe Labs 成為印度成長最快速的科技診斷服務供應商。瑞德克利夫實驗室的願景是在 2030 年透過融合技術和具世界規模等級的實驗室，服務五億印度人。他們已經在 180 座城市設立超過 73 間實驗室，以及約 1500 間的現場掛號中心，每天服務上千名的病患。 Redcliffe Labs仰賴 MongoDB Atlas 靈活的文件模型製作創新智慧健康報告，提供病患一系列指標及追蹤方式，了解整體健康狀況。MongoDB 開發者資料平台擁有等級最高的資料安全、合規性以及隱私管理，Redcliffe 團隊得以安心處理最敏感的病患資料。 MongoDB Atlas 可以自動處理許多傳統資料庫管理上的挑戰，因此開發者不需要花太多時間在管理資料庫，而是專注在為病患建立診斷。Redcliffe Labs 專注於診斷的領域，研究如何將下一代技術整合至 AI 平台，提供病患具互動性的診斷報告、進階的健康檔案及更詳盡的診斷及健康警示。 產業改革者 (Industry Disruptor) 國泰航空 (Cathay Pacific) 國泰航空 是香港本土的航空公司，目前在全球航行超過 60 據點。這間航空公司正在努力成為第一間真正執行駕駛艙無紙化的航空公司。直到最近，一班從香港飛往紐約的班機，機組人員還需要在飛行之前，看超過 150 張印刷文件和航圖，並在航行過程中不停更新資料。 2019 年時，國泰航空進行首次無紙化飛行，節省重達 50 公斤的手冊、航圖、地圖和班機簡報文書工作。這項壯舉是透過一個高度客製化的 iPad 應用程式：Flight Folder。Flight Folder 是以MongoDB Atlas 建構而成，為的是改善飛航簡報體驗，MongoDB 協助將數十種資訊來源整合至一個平台，讓機組人員可以輕鬆與彼此分享體驗。應用程式中同時包含電子化加油功能，幫助機組人員在加油策略上更有效率，節省大量的飛行時間和成本。而 MongoDB Device Sync 功能則可進行無縫同步，就算應用程式在飛航過程中斷線也不會遺失資料。 自從發布 Flight Folder 之後，國泰航空駕駛艙內完全無紙化的班機已經超過 34 萬班次，除了大大改善機組人員的工作體驗之外，飛行時間也跟著減少，數位加油平均節省了 8 分鐘停留在地面的時間，同時也幫助公司減低了 1.5 頓的碳排放。 從批次走到即時 (From Batch to Real-Time) 阿達尼數位實驗室 (Adani Digital Labs) 基地位在印度的數位創新公司 阿達尼數位實驗室 ，是極具規模性的阿達尼集團的一部分。這間實驗室團隊宗旨在於建立一個單一的平台－稱為 AdaniOne 的超級應用程式，為印度眾多的故事發聲。 為了滿足不同的使用案例，加上這個超級應用程式的規模龐大，阿達尼數位團隊選擇MongoDB Atlas 作為主要的交易式資料庫，進一步增強 AdaniOne 的功能。 這個應用程式的重要任務是集中分散的資料，提供單一活動檢視頁面。在第一階段，開發者得以批次取出資料，再送進資料庫中。不過這麼做的速度太慢，而且就業務需求也無法預測狀況。除此之外，整合客戶歷史、訂單、庫存及供應鏈網絡的單一檢視畫面，可能會影響客戶的營收能力。 為了找到更好的解決方案，阿達尼數位實驗室建構與 MongoDB 相符、更現代的架構。有了MongoDB's Change Streams 和資料平台的原生 Kafka Connect，他們建構出事件導向的架構，取得可進行分析的即時資料。阿達尼數位實驗室的超級應用程式仍在草創的階段，而 MongoDB 的開發者平台可以繼續幫助公司成長並即時產出洞見。 產業 4.0 (Industry 4.0) 東華 (Dongwha) 東華集團 創立於 1948 年，已經由專注於木材產業，發展成為橫跨建築材料、化學品和媒體等多個領域的全球領頭公司。 東華的數位轉型計畫其中一部分是工廠智慧化，改善並提升生產效率。東華透過建立創新的智慧工廠軟體平台，搜集並分析資料，提升品質及生產管理能力。 最初，該平台是使用 MongoDB 的社區版本構建的。 不過為了擴大規模及提升應用程度，團隊近期遷移至雲中的 MongoDB Atlas。這一改變可以用最快的速度及最高的安全性儲存大量資料，優化時間序列資料的解決方案，並更容易運用資料進行機器學習。 東華的遷移過程非常順利，沒有發生任何工廠中斷或停機，目前已經應用在五間不同的工廠。在去年一整年，該應用程序的可用性和可靠性顯著提高，而且工廠業績已經成長六倍。 東華展望未來，計劃在國外的工廠應用這個平台。 數位原住民 (Digital Native) myBillBook 印度擁有 6000 萬間中小型企業，但其中只有非常小一部分進行電子化，大多數依舊用最原始的方式做生意。除此之外，許多印度企業目前也仍深受不穩定的網路服務、電力中斷及延遲所困擾。FloBiz 的任務就是與 myBillBook 一起改善這個狀態。 myBillBook 是一款一站式解決方案，幫助中小企業建立商業發票、管理股票、收取費用、透過智慧銀行進行自動化提示、與客人互動、管理人員出席及工資，還可以匯出超過 25 種不同的會計及決策商務報告。這款應用程式的設計是以行動裝置為導向，因此企業主只要透過手機和平板就能使用，而且不管是線上和線下的環境都能進行帳單和庫存管理。 myBillbook 是由 Mongo DB Atlas 技術支援，為企業提供靈活性及擴展性，可方便建立新功能及複雜的分析查詢。除此之外，資料平台中的行動資料庫 MongoDB Realm，支援線下使用及同步，確保不會因為網路訊號不好，造成資料遺失或是功能無法使用。這款應用程式成功支援客戶進行重要的商業營運，現在在印度有超過 6500 萬企業主使用 myBillbook 進行建立帳單、會計、收款以及促使業務成長。 客戶導向 (Customer Focused) 開泰商業科技集團 (KASIKORN Business-Technology Group) 開泰銀行(KBank)成立於 1945 年，是泰國規模最大且最古老的銀行之一。其任務為提供最佳服務，盡力滿足每一位客戶在生活和商務上的需求。開泰銀行其中一間子公司， 開泰商業科技集團(KBTG) 研發了一款行動金融應用程式，MAKE by KBank。MongoDB 的靈活性及方便開發的特性，讓 MAKE 研發部門可以依照任務選擇最適合的資料庫，也能使用 Atlas Online Archive 自動化進行資料分層，降低日常維護的工作時間，團隊因此有了更多時間專注在推出創新且獨特的功能，像是 Cloud Pocket，使用者可以無限客製化不同的資金用途，自己進行分配；另一個功能是 Pop Pay，使用者可以點擊位在附近的朋友大頭照，直接匯錢過去；另外是分析消費的功能 Expense Summary，幫助提醒及管理使用者的資金使用習慣。時至 2023 年 1 月，MAKE 已經擁有超過一百萬用戶，而過去一年，MAKE 上的交易數量已經從 90 萬筆成長至 750 萬。 大型規模 (Massive Scale) 中國移動 (China Mobile) 中國移動 透過其橫跨全國的行動通訊網絡，提供行動語音及多媒體服務，服務地區包含中國和香港。以總用戶數計算的話，是目前是全世界最大的行動網路業者。 這個行動通訊龍頭使用 MongoDB 支援其最大且最重要的推播服務，每個月向超過十億的用戶，寄送帳單明細。在應用 MongoDB 之前，技術團隊使用的是 Oracle 的服務，但用戶開始增加，服務性能卻開始走下坡。雖然投入了大量的資金，但是在像是完成及送出帳單這類的簡單請求，所需時間還是過長。在 2019 年時，中國移動進行全方面的測試之後，決定遷移至 MongoDB。MongoDB 的原生資料分片帶來的優勢，讓整體性能提升了 80%，而且同樣的工作量原本是由 50 台 Oracle 機器進行，現在降為 12 台。目前服務專注在當前需求上，並可以隨著未來增長進行擴展。 中國移動在 MongoDB 的支援下，穩定增加超過 1.68 億每月用戶，也成為中國移動集團中，擁有最高客戶滿意度的公司之一。

March 30, 2023

祝贺 2023 年度亚太地区创新奖获得者

我很激动能够在此公布 2023 年度 MongoDB 亚太地区创新奖的九位得主。MongoDB 创新奖褒奖志存远大的项目和人员。此奖项旨在表彰专业人员使用 MongoDB 构建引人注目的应用程序时对数据的突破性运用，以及突破技术限制时所发挥的创造力。今年我们设立了亚太地区奖项，表彰各行各业中从初创企业到行业龙头在内的所有组织在该地区所展现出的高远志向以及伟大成就。我们很荣幸能向大家推介以下获奖者： 2023 年度 MongoDB 亚太地区创新奖获得者： 积极影响 (Positive Impact) Open Government Products Open Government Products (OGP) 是一个由工程师、设计师和产品经理组成的内部团队，隶属于新加坡政府，负责构建可为公众谋福祉的技术。OGP 使用 MongoDB 的开发者数据平台 MongoDB Atlas 创建了自己的数字表单生成器 FormSG。新加坡政府和公共医疗机构使用 FormSG 安全收集居民和企业的相关数据，让公职人员能够在几分钟内创建政府数字表单。这样就无需再使用纸质表单，也不必再手动转录物理文档，消除了人们对数据隐私和保护的担忧。疫情期间，FormSG 协助公职人员在全国范围内收集超过 10 万份每日体温申报。如今，FormSG 已经为 155 家机构超过 12 万名公职人员提供服务，创建的数字表单超过 50 万份，帮助政府收集到访新加坡之游客的旅行和健康申报、新冠肺炎拭子检测申请以及财政援助申请的相关数据。 组织转型 (Organizational Transformation) Bendigo and Adelaide Bank Bendigo and Adelaide Bank 是澳大利亚规模较大的一家银行，旗下约 7,000 名员工，帮助超过 220 万个客户实现财务目标。多年来，该银行一直在推进转型，他们使用 MongoDB 的开发者数据平台提高效率、提供更出色的客户体验，实现了成为澳大利亚首选银行的愿景。 最近，云团队推出了 Ready-Set MongoDB (即 RSM)。这个事件驱动的框架支持开发人员简化内部或外部 API 的使用，且会在他们选择的 MongoDB 集合中自动应用数据转换和存储。这家银行还使用 MongoDB Atlas Search，让开发人员能够洞悉公司的多云部署，确定节约的成本额，并向帐户所有者和技术利益相关者提供清单信息。 这些计划启动不到 18 个月，自动化就已为组织省下 1,100 多天的开发工时。此举还有助于减少人工参与，删除了过时数据，使工程师能够专注于重要的事情。 Bendigo and Adelaide Bank 将面临新的多云挑战，MongoDB 新产品也会持续发布，因此，团队也将持续开发并不断改进 Ready-Set MongoDB。该应用程序完美地展示了本迪戈的技术部门如何利用现代技术、迅速开发以及以创新为导向的问题解决来推动组织转型。 医疗先驱者 (Heroes in Health) Redcliffe Lifetech Private Limited 在过去的几年内， Redcliffe Labs 已经成为印度发展最快的技术驱动诊断服务提供商。Redcliffe Labs 肩负使命，希望能够通过技术融合和世界级实验室，到 2030 年为 5 亿印度人提供服务。该公司已经在 180 个城市设立超过 73 个实验室和近 1,500 个免预约中心，每天为数千人提供服务。 Redcliffe Labs 依靠 MongoDB Atlas 的灵活文档模型为其创新的智能健康报告提供支持。作为一种患者资源，该报告提供的许多指标和跟踪器可用来衡量整体健康状况。MongoDB 开发者数据平台所具备的出色安全性、合规性和隐私控制让 Redcliffe 的团队能够自信地处理极为敏感的患者数据。 MongoDB Atlas 解决了许多传统的数据库管理挑战，这意味着开发人员可将事件用于为患者构建诊断服务，而不是管理数据库。Redcliffe Labs 目前的工作重点是利用 AI 平台将下一代技术融入诊断领域，从而创建交互式诊断报告、高级健康分析以及更详细的诊断和健康警报。 行业颠覆者 (Industry Disruptor) 国泰航空 (Cathay Pacific) 国泰航空 (Cathay Pacific) 是香港的本土航空公司，在全球 60 多个目的地国家/地区开展业务。其发展历程引人瞩目，成为了首批打造出真正无纸化驾驶舱的航空公司。直到最近，从香港飞往纽约的航班还需要机组人员先审阅 150 多页印刷精美的文本和图表后才能起飞，且整个飞行过程还需要不断更新各类文件。 2019 年，国泰航空进行了首次无纸化飞行，卸下的手册、图表、地图和飞行简报文件重达 50 千克。这个巨大成就有赖于一款无缝且高度定制的 iPad 应用程序 Flight Folder。基于 MongoDB Atlas 构建的 Flight Folder 旨在改善飞行员的简报体验。MongoDB 协助将数十个不同的信息源整合到一个位置，让机组人员能够轻松地与其他人分享他们的体验。这款应用程序还包括一个数字加油功能，可以帮助机组人员更高效地实施加油策略，从而节省大量的飞行时间和成本。使用 MongoDB Device Sync 可以实现无缝同步，不论飞行途中的应用程序是脱机还是联机，数据都不会丢失。 自 Flight Folder 推出以来，国泰航空已完成超过 34 万次飞行，驾驶舱实现了全数字化集成。除了大大改善了机组人员的体验外，飞行时间也相应减少，数字化加油平均节省了 8 分钟的地面时间。这些效率提升帮助公司避免了 1.5 万吨的碳排放。 从批处理到实时 (From Batch to Real-Time) 阿达尼数字实验室 (Adani Digital Labs) 阿达尼数字实验室 是阿达尼集团设于印度的数字创新团队。该实验室团队的一个重要任务是创建一个名为 AdaniOne 的超级应用程序平台，在印度为十亿个案例赋能。 为了应对该超级应用程序所需的诸多用例和巨大规模，阿达尼数字团队选择 MongoDB Atlas 作为其主要的事务数据库，而这将进一步增强该应用程序。 该应用程序的一个关键环节在于如何将不同的数据整合在一起，以便从单一平台查看应用程序上的全部活动。起初，开发人员批次提取数据并将其发送到他们的数据库。然而，就业务需求而言，此过程太慢，且不可预测。此外，将客户历史记录、订单、库存和供应链网络更新整合为综合性视图可能会影响其客户的创收能力。 因此，为了找到更有效的解决方案，阿达尼数字实验室借助 MongoDB 构建了更现代化的架构。使用 MongoDB 的变更流和数据平台的本机 Kafka 连接器，他们创建了一个基于事件的架构，可以实时推出数据并进行分析。阿达尼数字实验室仍处于超级应用程序推出的早期阶段，他们将继续将 MongoDB 作为其开发者数据平台，协助公司发展并实时提供见解。 工业 4.0 (Industry 4.0) Dongwha 成立于 1948 年的 Dongwha 集团 起初专注于木料和木材行业，现已发展成为横跨建筑材料、化学品和媒体等多个领域的全球领导者。 为了推进更广泛的数字化转型战略，Dongwha需要更智能的工厂来提高和优化生产效率。为此，Dongwha构建了创新型智能工厂软件平台，用于收集和分析数据，以提高质量和生产管理能力。 最初，该平台以MongoDB社区版本为构建基础。为了扩展规模和适应，该团队最近迁移到了 MongoDB Atlas。此举让他们能够以更快、更安全的方式存储大量数据，优化适用于时间序列数据的解决方案，以及轻松对数据执行机器学习。 Dongwha 无缝完成了迁移，工厂没有因此经历任何中断或停机。目前，已在五个不同的工厂推出了这款软件。在过去的一年内，该应用程序的可用性和可靠性显着提高，同时性能提高了 6 倍之多。未来，Dongwha 计划将该软件推广到旗下更多国际工厂。 数字原生 (Digital Native) myBillBook 印度拥有 6,000 多万个中小型企业 (SMB)，但只有一小部分中小型企业利用数字化，许多此类企业仍采用纸笔办公。此外，对于互联网服务的波动、中断和延迟，许多印度企业疲于应对。FloBiz 决意通过 myBillBook 来改变这一现状。作为一站式解决方案， myBillBook 可帮助中小型企业创建专业发票、管理库存、收款、通过智能银行自动发送提醒、与客户互动、管理员工考勤和工资单，还能够协助生成超过 25 份用于会计和决策的业务报告。此外，其还是一款移动优先程序，方便企业从移动设备访问。此外，其还允许用户在脱机和联机环境中管理帐单和库存。 myBillBook 应用程序由 MongoDB Atlas 提供支持，为企业提供了灵活和可扩展的基础，可以完成从构建新功能到执行复杂分析查询的所有工作。此外，数据平台中的移动数据库 MongoDB Realm 支持脱机使用和同步，可确保用户不会因互联网连线不佳而丢失数据或无法使用功能。鉴于 myBillBook 在支持客户开展业务关键运营方面的成功，印度有 650 多万企业主正在使用该应用程序进行计费、会计、收款并实现业务增长。 以客户为中心 (Customer Faced) KASIKORN Business-Technology Group 泰华农民银行 (KBank) 成立于 1945 年，是泰国规模最大、历史最悠久的其中一家银行。他们致力于努力追求卓越的服务，为每一位客户的生活和业务赋能。 KASIKORN Business-Technology Group (KBTG) 是泰华农民银行的一家子公司，其开发了一款移动银行应用程序 MAKE by KBank。MongoDB Atlas 的灵活性和开发简易性让 MAKE 的开发团队能够针对各任务选择最佳数据库，使用 Atlas 在线存档自动执行数据分层，缩短运行维护时间。将更多时间专注于为客户提供新的创新成果后，他们打造出 Cloud Pocket 等独特功能，可以将资金分配到数量不受限制的可定制 Pocket 中，可供单独使用。他们还推出了 Pop Pay 功能，支持用户轻松搜索附近的朋友，并通过点击个人资料图片实现转帐。此外，还提供支出分析服务“费用汇总”，有助于了解和管理用户的财务习惯。自 2023 年 1 月起，MAKE 收获的用户超过 100 万，并在一年的时间内将 MAKE 的事务数量从 90 万增加到超过 750 万。 超大规模 (Massive Scale) 中国移动 (China Mobile) 中国移动 ，在中国内地所有三十一个省、自治区、直辖市以及香港特别行政区提供全业务通信服务，业务主要涵盖移动话音和数据、有线宽带，以及其他通信信息服务。中国移动是全球网络和客户规模最大的世界级电信运营商。 中国移动使用 MongoDB 来支持其最大和最关键的推送服务之一，该服务每月向超过 10 亿用户发送账单明细。在使用 MongoDB 之前，中国移动技术团队一直依赖 Oracle数据库，但随着用户数量的增加，数据库性能也随之下降。尽管投入了大量资金，Oracle系统处理日常请求（如最终确定和向用户交付账单）仍然需要很长时间。 2019年，经过全面测试，中国移动迁移到MongoDB。通过利用 MongoDB 的原生分片，该系统性能大幅提高了80%，从原来需要50台Oracle机器减少至只需要12台MongoDB的机器来处理相同的负载。该推送服务不但可以处理所有当前需求，并为随着未来增长而扩展做好了准备。 借助MongoDB，中国移动推送服务业务稳步增长，月活用户超过1.68亿，该推送业务也成为中国移动集团里客户满意度最高的服务之一。

March 30, 2023

Three Ways Retailers Use Search Beyond the Ecommerce Store

When consumers think of retail search, the first thing that comes to mind is typically the search bar of an ecommerce website. This is for a good reason: a Salesforce commerce study shows that 87% of shoppers begin their shopping journey in the search bar, and Forrester has found that as many as 68% of shoppers would not return to a site that provided a poor experience. But retailers that exclusively focus on search capabilities in the context of ecommerce are missing out on huge benefits in customer experience and workforce efficiency. To drive fast application experiences, the querying and indexing of data sets is vitally important, and can be a game changer for easy performance optimization. Let’s explore some of the innovative ways that retailers are using search indexes to super-power their application experiences. Why search is important across retail organizations Large retail data sets, like product and customer data, are used by both customer-facing ecommerce or loyalty applications and internal use cases: inventory management, stock management, customer care, purchasing, supplier and vendor management, marketing and more. Customers using ecommerce search bars typically have an excellent “Google-like” experience with auto-complete, faceting, fuzzy matching, etc., but the retail workforce and back office staff often aren't given the same luxury. These internal teams are trying to work efficiently, but they are stuck using front ends powered by a traditional operational database with no search indexing capabilities. These teams are missing out on a search engine that is optimized for unknown or unpredictable workloads. Search indexing will speed up queries where the input is user-defined or might be searching across multiple fields. Let’s look at a comparison: FIgure 1: Database Query vs. Search Query For these under-served and often overlooked use cases, retailers need a quick and cost-effective solution to adding search, like MongoDB Atlas Search. Adding a search index to an application can be done in minutes, without creating operational complexity. MongoDB manages the spin up and management of the backend Apache Lucene search engine, and the complex data and index synchronization activity. Figure 2: MongoDB Atlas: Integrated database and search The three most common use cases for retail The easy addition of search can optimize application performance and usability in the retail industry in three important areas: In-store workforce applications Back office inventory and assortment Customer servicing Figure 3: Example Search use cases in three retail industry areas In-store workforce applications Speed is important in workforce applications, because these interactions happen in real time. Think of an in-store customer spelling out a name in full at checkout for a grocery purchase to be added to a loyalty account. This could add five minutes to a checkout experience, disincentivizing the customer to engage with the loyalty program. Now imagine that the same checkout attendant can identify the customer by any number of data points, not only loyalty number, but also name, first line of address, email, etc., with faster lookup through auto-complete and fuzzy matching. A retailer that MongoDB works with does this auto-lookup in store with Atlas Search in 200-300 milliseconds for optimum customer satisfaction. Customers and staff also can have difficulty remembering or correctly identifying products. A DIY amateur or a new employee can’t be expected to know the exact name or product ID. This is a great use case for search indexing as we do not know the field in the document or the product attribute that we are querying against. MongoDB has customers that stock more than 150 million products. Strong typo tolerance makes life easier for everyone. Back-office inventory and assortment Flawless purchasing and stock management ensures brick and mortar and online stores get the right inventory at the right time to maximize sales and reduce wastage or deadstock. An operator responsible for distributing products into categories will define in which store shelf a product needs to be and adjust this depending on customer behavior and contractual changes with the supplier. Inventory applications will be used on a daily basis by every operator.. These are small internal applications that can have a huge impact on the overall business, but are often overlooked by large IT programs for budget or have a smaller IT team. These teams are adopting Atlas Search because they can get it up and running in as few as three weeks and fully integrated into their application without taking on more operational overhead. Customer servicing Long call center or chat conversations wait times have high operational costs and cause customer churn. It is vital to identify the customer as quickly as possible by the data they provide: order or customer ID, phone number, store address, etc. Retailers who have created a “Customer 360” across their customer relationship management and loyalty systems have created a large complex pool of data. The ability to run a single query to search across all available attributes makes it much faster to identify a customer. Search can also be used to optimize speed and accuracy of results for chat applications and chat bots who have to answer a large volume and variety of questions. This is a perfect use case for search with unpredictable user inputs. If answers to the questions can be searched across the entire knowledge base, speed and relevancy can be improved. MongoDB has retailer customers building chatbot applications for internal use cases like an IT team answering common questions, and external ones. For example, on the ecommerce homepage, a chatbot needs search functionality to be able to quickly do product lookup, customer identification, or make a suggestion. Quick and easy search implementation will add to the customer experience and reduce staff operations. Where your company could add search functionality It’s time to think beyond the ecommerce search bar. What are the search workloads within your company’s retail estate? Are there internal applications that have your frontline or back-office staff frustrated with inefficient lookups? Is the reason you’re not implementing search today the fact that it's a heavy lift to add an additional technical component to your architecture? These are the types of conversations that are driving adoption of Atlas Search across the retail industry, as businesses persevere in a tough macro-economic climate to do more with less. Adding vital functionality to applications without adding complexity is a win for the retailer, the workforce and the consumer. Want to learn about how MongoDB has integrated Search into the Atlas Developer Data Platform? Head to the Search solution page to explore more technical and in-depth resources.

March 29, 2023

Security in Government Solutions: Why Secure By Default is Essential

Data security in government agencies is table stakes at this point. Everyone knows it’s essential, both for compliance and data protection purposes. However, most government agencies are working with solutions that require frequent security patches or built-on tools to protect their data. Today, the federal government is pushing its agencies to move to modernize their solutions and improve their security posture. For example, the DHS and Cybersecurity and Infrastructure Security Agency’s recently issued technical rule for modernization of the Protected Critical Information Infrastructure program – a program that provides legal protections for cyber and physical infrastructure information submitted to DHS. “The PCII Program is essential to CISA’s ability to gather information about risks facing critical infrastructure,” said Dr. David Mussington, Executive Assistant Director for Infrastructure Security. “This technical rule modernizes and clarifies important aspects of the Program, making it easier for our partners to share information with DHS. These revisions further demonstrate our commitment to ensuring that sensitive, proprietary information shared with CISA remains secure and protected.” So how can government agencies modernize their data infrastructure and find solutions that not only protect data but also power innovation? Let’s look into a few different strategies. 1. Why secure by default is key Secure by default means that any piece of software uses default security settings that are configured for the highest possible security out of the box. CISA Director Jen Easterly has addressed how using solutions that are secure by default is critical for any organization. “We have to have [multi-factor authentication] by default. We can't charge extra for security logging and [single sign-on],” Easterly said . “We need to ensure that we're coming together to really protect the technology ecosystem instead of putting the burden on those least able to defend themselves.” “The American people have accepted the fact that they’re constantly going to have to update their software,” she said. “The burden is placed on you as the user and that’s what we have to collectively stop.” Easterly is right. Secure-by-design solutions are vital to the success of data protection. The expectation should alway be that solutions have built-in, not bolt-on security features. One approach that’s gaining traction both in the public and private sectors is zero trust environments. In a zero trust environment, the perimeter is assumed to have been breached. There are no trusted users, and no user or device gains trust simply because of its physical or network location. Every user, device, and connection must be continually verified and audited. As the creator of zero trust, security expert John Kindervag, summed it up: “Never trust, always verify.” For government agencies, that means the underlying database must be secure by default, and it needs to limit users’ opportunities to make it less secure. 2. Security isn't just on-prem anymore; cloud is secure, too Cloud can be a scary word for public sector organizations. Trusting your sensitive data to the cloud might feel risky for those who handle some of the country’s most sensitive data. But, cloud providers are stepping up to meet the security needs of government agencies. There is no need to fear the cloud anymore. Government agencies and other public sector organizations nationwide are navigating cloud modernization through the lens of increased cybersecurity requirements outlined in the 2021 Executive Order on Improving the Nation’s Cybersecurity . “The Federal Government must adopt security best practices; advance toward Zero Trust Architecture; accelerate movement to secure cloud services, including Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS); centralize and streamline access to cybersecurity data to drive analytics for identifying and managing cybersecurity risks; and invest in both technology and personnel to match these modernization goals.” Also, the major cloud providers are well established, purpose-built options for government users. AWS GovCloud, for example, is more than a decade old and was “ the first cloud provider to build cloud infrastructure specifically designed to meet U.S. government security and compliance needs.” This push by the federal government toward cloud modernization and increased cybersecurity will be a catalyst in upcoming years for rapid cloud adoption and greater dependence on cloud solutions designed specifically for government users. 3. Security features purpose-built for goverment needs are essential Government agencies are held to a higher standard than those in the private sector. From data used in sometimes life-or-death missions to data for students building their futures in educational institutions (and everything in between), security has real-world consequences. Today, security is non-negotiable and like we explored above, it’s especially crucial that public sector entities have built-in security measures to keep data protected. So, what built-in features should you look for? Network isolation and access It’s critical that your data and underlying systems are fully isolated from other organizations using the same cloud provider. Database resources should be associated with a user group, which is contained in its own Virtual Private Cloud (VPC), and access should be granted by IP access lists, VPC peering, or private endpoints. Encyption in flight, at rest, and in use Encryption should be the standard. For example, when using MongoDB Atlas, all network traffic is encrypted using Transport Layer Security (TLS). Encryption for data at rest is automated using encrypted storage volumes. Customers can use field-level encryption to encrypt sensitive workloads which enables you to encrypt data in your application before you send it over the network to MongoDB clusters. Users can bring their own encryption keys for an additional level of control. Granular database auditing Granular database auditing allows administrators to answer detailed questions about systems activity by tracking all commands against the database. This ensures you always know who has access to what data and how they’re using it. Multi-factor authentication User credentials should always be stored using industry-standard and audited one-way hashing mechanisms, with multi-factor authentication options including SMS, voice call, a multi-factor app, or a multi-factor device, ensuring only approved users have access to your data. MongoDB Atlas for Government: Purpose-built for public sector As we’ve discussed, solutions that are purpose-built with built-in security are ideal for government agencies, and choosing the right one is the best way to keep sensitive data protected. MongoDB Atlas for Government on AWS GovCloud recently secured its FedRAMP Moderate authorization thanks to these security measures built into the solution. FedRAMP is a government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. To ensure the utmost levels of security, Atlas for Government is an independent, dedicated environment for the U.S. public sector, as well as ISVs looking to build U.S. public sector offerings. Public Sector organizations carry a heavy burden when it comes to keeping data protected. However, with the right data platform underpinning modern applications – a platform with built-in security features – progress doesn’t mean you have to compromise on security. Want to learn more about data protection best practices for public sector organizations? Attend our upcoming webinar on April 12 for deeper insight .

March 28, 2023

Women Leaders at MongoDB: Lena Smart Discusses Clarity and Goal Setting

March is Women’s History Month. Our women leaders series highlights MongoDB women who are leading teams and empowering others to own their career development and build together. Lena Smart, Chief Information Security Officer, explains why words matter, shares her thoughts on leadership, and discusses MongoDB’s internal mentorship program “MentorHER”. Tell me a bit about your team. My team is responsible for all aspects of security of MongoDB’s global offices and employees. Within my organization I have Governance, Risk and Compliance (GRC) and InfoSec (security engineering, physical security, etc.) under me. We are dedicated to making every effort to protect customer data, including continually improving security processes and controls. On top of that, we are committed to delivering the highest levels of standards conformance and regulatory compliance as part of our ongoing mission to address the most demanding security and privacy requirements of our customers. My goal is to build the best security and GRC team in the world. What characteristics make a good leader? In my opinion, good leaders are decisive and leave little room for ambiguity. They are understanding and know that people are depending on them for their careers, dreams, and aspirations. They make their work matter every day, are focused on continuous learning, and do not “rest on their laurels.” What has your experience been like as a woman growing your career in leadership? My experience as a woman leader has depended on the environment. It was very difficult as a CIO and CISO in the power industry. Every day I felt like I was being undermined by my peers, who (because they were all “power industry engineers”) felt they were the experts in everything to do with security (they were not). It was exhausting. I finally left and joined a FinTech company. That was better, but I still felt I could find an environment where women were actively encouraged to lead. Hence my move to MongoDB. I could not be happier here and love working with all our teams. Tell us about the biggest lesson you’ve learned throughout your career. The biggest lesson I’ve learned is that words matter. As a leader, people can interpret your words in many ways. Be clear in your message. I have a mantra on our team: “one voice, one message”. I encourage my team members to have all the internal discussion they want, but we do not ever air our dirty laundry in public. We stand with “one voice, one message”. People in general like clarity, and we try hard to enforce that idea within my team by encouraging each person to own what they do. What’s your advice for building and developing a team? I believe cultivating a supportive and positive team culture stems from the top down. I really embrace and follow MongoDB’s company values . Build Together is the main value I follow because, to me, people are everything. You need the right people in the right places owning what they do. I am also a huge advocate for people taking the initiative and building upon their own careers. I make sure to set aside a budget for training and certification programs for my team. This allows them to enhance their knowledge and helps them grow and develop into even stronger security and GRC professionals. I also started the Security Champions Program at MongoDB almost four years ago, a volunteer-based program that allows anyone who has an interest in security to join monthly meetings to learn more. Can you tell us a bit about the MentorHER program at MongoDB? I am honored to be the Executive Sponsor for a very important internal program called MentorHER. MentorHER aims to create diverse teams, develop female leaders, drive organizational changes, and enhance MongoDB’s reputation as an employer of choice. I’ve had a couple of mentors who made a positive impact on my career. I cherished our time together and made sure to have a clear understanding of the mentoring program I signed up for. There were goals, regular meetings, and a lot of positivity generated by mentoring. I hope we can replicate that at MongoDB with our MentorHER program. We have a very strong team leading the program, and I feel very confident that we will meet our goals and embrace the different experiences and perspectives of the women around us. What is your advice to women looking to grow their careers as leaders? My advice to other women is this: be clear and honest in what you want from a leadership role. At the C-suite level you will be pulled in many directions. Control that, from the start, where possible. It’s important to be intellectually honest and have clear goals that will help your team grow and mature, and the business flourish. Join a team that builds together every day. View open career opportunities at MongoDB.

March 27, 2023

Tendencias del 2023: Las Medidas de Modernización en el Sector de los Servicios Financieros

Ante la recesión mundial que se avecina, los bancos se enfrentan a unas condiciones económicas difíciles en 2023. Reducir los costes será vital para que muchas organizaciones sigan siendo competitivas en un entorno con un uso intensivo de datos y altamente regulado. Por ello, es importante que cualquier inversión en IT acelere la transformación digital con tecnologías innovadoras que rompan los silos de datos, aumenten la eficiencia operativa y creen experiencias personalizadas para los clientes. Siga leyendo para conocer las áreas en las que los bancos están buscando modernizarse en 2023 para construir mejores experiencias de cliente con un coste menor y a escala. Diseñando un futuro bancario mejor mediante diseños flexibles En un momento en que los bancos están deseando modernizarse e innovar, las entidades deben alejarse de los sistemas heredados que limitan su capacidad de progresar. Situar a los consumidores en el centro de una experiencia bancaria compuesta por servicios interconectados pero independientes ofrece a los bancos, que apuestan por la tecnología, la oportunidad de remodelar sus modelos de negocio y, en consecuencia, aumentar su cuota de mercado y su rentabilidad. Estas oportunidades han hecho posible un diseño de arquitectura componible que permite una innovación más rápida, una mayor eficiencia operativa y la creación de nuevas fuentes de ingresos mediante la ampliación de la cartera de servicios y productos. De este modo, los bancos pueden adoptar el mejor software de su categoría y el que mejor se adapte a sus necesidades, organizando asociaciones estratégicas con las empresas de tecnología financiera y los proveedores de software pertinentes. Esta nueva generación de proveedores puede ofrecer desde servicios de conocimiento del cliente (KYC, del inglés "Know Your Customer") hasta reservas integradas, servicios de carga o funcionalidades básicas de marketing y gestión de portfolios. Este enfoque es más rentable para las entidades que tener que construir y mantener ellas mismas la infraestructura, y es significativamente más rápido en términos de tiempo de comercialización y tiempo de obtención de ingresos. Los bancos que adoptan este enfoque ven a las fintech menos como competidores y más como parte de un ecosistema con el que colaborar para acelerar la innovación y llegar a los clientes. Eficiencia operativa mediante automatización inteligente Las entidades financieras seguirán centrándose en la eficiencia operativa y el control de costes mediante la automatización de los procesos manuales y basados en papel. Los bancos han hecho algunos progresos en la digitalización y automatización de lo que antes eran procesos manuales basados casi exclusivamente en papel. Sin embargo, el principal motor de esta transformación ha sido el cumplimiento de la normativa local, en lugar de una estrategia global para conocer realmente al cliente y lograr su satisfacción. El mercado demanda mejores decisiones automatizadas y basadas en datos, y los sistemas heredados no pueden seguir el ritmo. Crear las experiencias hiperpersonalizadas que demandan los clientes, como chatbots, portales de autoservicio y análisis forense digital, es difícil para las entidades que utilizan tecnología obsoleta. Además, tener una infraestructura de datos en silos impide cualquier experiencia moderna verdaderamente integrada. Mediante una combinación de automatización robótica de procesos (RPA, del inglés "Robotic Process Automation"), aprendizaje automático (ML, del inglés "Machine Learning") e inteligencia artificial (IA), las entidades financieras pueden agilizar los procesos, liberando así a los empleados para que se centren en tareas que tengan un mayor impacto para el cliente y la empresa. Las entidades no deben digitalizar sin tener en cuenta la interacción humana que será sustituida, ya que los clientes prefieren un enfoque híbrido. La capacidad de actuar sobre los datos en tiempo real es el camino a seguir para impulsar el valor y transformar las experiencias de los clientes, lo que debe ir acompañado de la modernización de la arquitectura de datos subyacente. El prerrequisito para alcanzar este objetivo implica la disociación de los datos y las fuentes en un paisaje de datos holístico. Algunos lo llaman data mesh otros fuentes de datos componibles o datos virtualizados. Resolviendo los retos que plantean los datos ESG (del inglés "Environmental, Social, and Governance") Junto con la elevada inflación, la crisis del coste de la vida, las turbulencias energéticas y la subida de los tipos de interés, los aspectos medioambientales, sociales y de gobernanza (ESG) también están en el punto de mira. Los reguladores presionan cada vez más para que se faciliten datos ESG y los inversores para que los portfolios sean sostenibles. El papel de los datos ESG en la realización de análisis de mercado, el apoyo a la asignación de activos y la gestión de riesgos, y proporcionar información sobre la sostenibilidad a largo plazo de las inversiones sigue creciendo. La naturaleza y variabilidad de muchas métricas ESG es un reto importante al que se enfrentan las empresas hoy en día. A diferencia de los datasets financieros, que son en su mayoría numéricos, las métricas ESG pueden incluir datos cuantitativos y cualitativos para ayudar a los inversores y otras partes interesadas a comprender las acciones e intenciones de una empresa. Esta complejidad, unida a la falta de una norma de información ESG de aplicación universal, significa que las instituciones deben considerar diferentes normas con diferentes requisitos de datos. Para dominar la elaboración de informes ESG, incluida la integración de los KPIs pertinentes, se necesitan datos adecuados y de alta calidad que, además, tengan el nivel de granularidad adecuado y cubran los sectores y la región requeridos. Dado el volumen y la complejidad de los datos, las entidades financieras están construyendo plataformas ESG sustentadas en modernas plataformas de datos capaces de consolidar distintos tipos de datos de varios proveedores, crear vistas personalizadas, modelizar datos y realizar operaciones sin barreras. Pagos digitales - Ofreciendo una experiencia enriquecida Impulsado por las nuevas tecnologías y las tendencias mundiales, el mercado de los pagos digitales está floreciendo en todo el mundo. Con una valoración de más de 68.000 millones de dólares en 2021 y expectativas de crecimiento de dos dígitos en la próxima década, los mercados emergentes lideran la expansión relativa. Este crecimiento se ha visto impulsado por los pagos sin efectivo inducidos por la pandemia, el comercio electrónico, el impulso gubernamental y las fintech. Los pagos digitales están transformando la experiencia de pago. Mientras que antes bastaba con que los proveedores de servicios de pago facilitaran información sobre las cuentas y orquestaran transacciones sencillas, ahora los consumidores exigen una experiencia mucho más completa en la que cada transacción ofrezca nuevas perspectivas y servicios de valor añadido. Satisfacer estas expectativas es difícil, especialmente para las empresas que dependen de tecnologías obsoletas que se crearon mucho antes de que las transacciones se realizaran con unos pocos clicks en un dispositivo móvil. Para satisfacer las necesidades de los clientes, las instituciones financieras están modernizando su infraestructura de datos de pagos para crear experiencias de pago personalizadas, seguras y en tiempo real, todo ello protegiendo a los consumidores del fraude. Esta modernización permite a las entidades financieras ingerir cualquier tipo de datos, poner en marcha servicios más rápidamente, a un coste menor y tener la libertad de ejecutarlos en cualquier entorno, desde el local hasta la multi-nube. Seguridad y gestión de riesgos Los datos son fundamentales para todas las instituciones financieras; se reconocen como un activo esencial para impulsar el crecimiento de los clientes y la innovación. Sin embargo, a medida que aumenta la necesidad de aprovechar los datos de forma eficiente, según el 57% de los responsables de la toma de decisiones , la tecnología heredada que aún sustenta a muchas organizaciones es demasiado cara y no cumple los requisitos de las aplicaciones modernas. Esta infraestructura heredada no sólo es compleja, sino que además es incapaz de cumplir los requisitos de seguridad actuales. Dado el enorme volumen de datos confidenciales de clientes y consumidores que el sector de los servicios financieros maneja a diario -y la estricta normativa que los regula-, la seguridad debe ser la máxima prioridad. El valor percibido de estos datos también convierte a las organizaciones de servicios financieros en el principal objetivo de las filtraciones de datos. La protección contra el fraude, la gestión de riesgos y la lucha contra el blanqueo de dinero son prioridades importantes para cualquier nueva plataforma de datos, según el estudio de Forrester What's Driving Next-Generation Data Platform Adoption in Financial Services . Para hacer frente a estos retos, la adopción de plataformas de datos de nueva generación seguirá creciendo a medida que las instituciones financieras se den cuenta de todo su potencial para gestionar costes, maximizar la seguridad y fomentar la innovación. Descargue el estudio completo de Forrester - What's Driving Next-Generation Data Platform Adoption in Financial Services - para obtener más información.

March 23, 2023

Los 5 Pasos Necesarios para Modernizar el Mainframe de los Bancos

Enriquecida, cómoda y personalizada son las palabras clave para cualquier empresa que construya una experiencia de cliente digital moderna. No es diferente para los bancos minoristas tradicionales, especialmente cuando intentan defenderse de los bancos emergentes y diseñar sus propias experiencias de banca online y en las sucursales para captar nuevos clientes y retener a los existentes. Sin embargo, para vencer a la competencia y crear experiencias que superen las ofrecidas por los neobancos, los bancos minoristas establecidos deben dominar su patrimonio de datos. En concreto, deben liberarse de las rígidas arquitecturas de datos asociadas a los mainframes heredados y a las aplicaciones bancarias empresariales monolíticas. Sólo entonces los bancos establecidos podrán hacer que sus desarrolladores se pongan a trabajar en la creación de aplicaciones de alta calidad orientadas al cliente, en lugar de gestionar miles de tablas SQL, luchar por rehacer los esquemas o mantener sistemas heredados que flaquean. El primer paso en este proceso es modernizar el mainframe. Modernización avanzada en 5 fases La mejor opción de modernización es un modelo por fases que utilice una capa de datos operativos (ODL, del inglés "Operational Data Layer"). Una ODL actúa como puente entre los actuales y los nuevos sistemas de un banco. El uso de una ODL permite un enfoque iterativo, lo que permite a los bancos ver el progreso hacia la modernización en cada paso del camino sin dejar de proteger los activos existentes y las operaciones críticas para el negocio. Los bancos pueden ver mejoras rápidas en un periodo de tiempo relativamente corto, al tiempo que conservan los componentes heredados mientras sean necesarios para mantener el negocio en funcionamiento. El enfoque de modernización en cinco fases de MongoDB permite a los bancos modernizarse de forma progresiva al tiempo que equilibran el rendimiento y el riesgo. Si los bancos están deseando modernizarse y sus clientes exigen experiencias bancarias modernas, ¿por qué tardan tanto en abandonar los sistemas heredados que limitan su capacidad de innovación? ¿Y por qué fracasan tantos esfuerzos de modernización? Acceda al informe Las 5 fases de la modernización bancaria para empezar a trazar su camino. Técnicas de modernización del mainframe Con una ODL, la infraestructura heredada puede desconectarse pieza a pieza y retirarse a medida que se añaden más funcionalidades. En este escenario, las operaciones de base de datos son mucho más eficientes porque los objetos se almacenan juntos en lugar de en ubicaciones inconexas. Las lecturas se ejecutan en paralelo a través de los nodos de un conjunto de réplicas. Las escrituras no se ven afectadas. Para aportar beneficios similares a las escrituras, los bancos pueden optar por implantar un ODL con sharding y shards regionales , acercando las escrituras al usuario real. A continuación, las cargas de trabajo pueden trasladarse gradualmente de los sistemas heredados al ODL, con el objetivo final de desmantelar el sistema heredado. Lo interesante de este enfoque de la modernización es que comienza por contestar al siguiente caso de uso: ¿A qué problemas se enfrenta el banco en su gestión de datos y qué funcionalidades solicitan los clientes? Si la principal prioridad es dar a los clientes acceso a los datos históricos de las transacciones, los bancos pueden abordar ese problema inmediatamente creando un repositorio (o dominio) para descargar los datos de los clientes del mainframe. Si la prioridad es la reducción de costes, entonces un ODL puede actuar como una capa intermedia, permitiendo a las aplicaciones acceder a los datos que necesitan, sin necesidad de ejecutar costosas consultas contra los datos del mainframe. Las ventajas de un ODL MongoDB es ideal para conectar mainframes y bases de datos tradicionales a arquitecturas más modernas, como un data mesh mediante una ODL. Una ODL tiene una serie de ventajas. Combinadas, estas ventajas facilitan enormemente el acceso a los datos y su uso, y hacen que las aplicaciones sean más fáciles y rápidas de desarrollar. Una ODL permite a una organización procesar y aumentar datos que residen en silos separados, y luego utilizar esos datos para alimentar un producto derivado, como un sitio web o un cajero automático. Con una ODL, los datos se copian físicamente a una nueva ubicación. Los sistemas heredados de un banco permanecen en su lugar, pero las nuevas aplicaciones pueden acceder a los datos a través de la ODL en lugar de interactuar directamente con los sistemas heredados. Un ODL puede extraer datos de uno o varios sistemas de origen y alimentar una o varias aplicaciones consumidoras, unificando datos de múltiples sistemas en una única plataforma en tiempo real. Un ODL libera el mainframe de cargas de trabajo. Un subproducto útil es evitar las interrupciones del servicio al consumidor provocadas por las ventanas de mantenimiento en sistemas heredados, como Oracle Exadata. Una ODL puede utilizarse para servir sólo lecturas, aceptar escrituras que luego se escriben en los sistemas de origen, o evolucionar hasta convertirse en un sistema de registro que acabe sustituyendo a los sistemas heredados y simplifique la arquitectura de la empresa. Debido a su capacidad para trabajar con sistemas heredados, o para sustituirlos gradualmente, y a su capacidad para apoyar un enfoque evolutivo de la modernización heredada, muchos bancos consideran que una ODL es un paso crítico en el camino hacia la modernización completa de su arquitectura empresarial. En términos de configuración arquitectónica, algunos bancos pueden querer una ODL para cada uno de sus dominios de datos, pero otros pueden considerar que ciertos dominios pueden compartir una ODL. El modelo de ODS/ODL puede aplicarse de diversas maneras, sin infringir las normas internas del banco. Por ejemplo, imaginemos un cajero automático conectado a un ODL basado en MongoDB. Con el ODL en funcionamiento, los datos del mainframe se replican en tiempo real y se ponen a disposición del consumidor para que compruebe sus transacciones más recientes y el saldo de su cuenta en el cajero automático. Sin embargo, la información del saldo del cliente sigue residiendo en el sistema de origen. Utilizar el ODL para replicar y mostrar información del mainframe evita a los clientes tener que enfrentarse a retrasos molestos mientras esperan a que se cargue la información de un mainframe. Al mismo tiempo, los informes normativos y de gestión de riesgos pueden seguir ejecutándose contra un mainframe como un proceso batch "end of day". Con un ODL en funcionamiento, los datos pueden fluir desde el mainframe a una arquitectura más nueva, lo que proporciona al cajero automático capacidades más amplias que amplían las experiencias bancarias de los clientes, como la posibilidad de pagar facturas, cambiar direcciones o incluso abrir cuentas adicionales. Actualizaciones en batch nocturnos, masivas o en tiempo real: MongoDB es lo suficientemente flexible como para conectarse a cualquier fuente de datos, ya sea DB2 clásico para zOS, Oracle, SQL Server, legado basado en Hadoop o incluso hojas de cálculo Excel. MongoDB dispone de la conectividad adecuada para ingerir cualquier dato en cualquier momento y desde cualquier lugar. Enriquecimiento, dominios de datos y mercados de datos: Con su modelo de datos de documentos, MongoDB tiene la capacidad de llevar los datos a dominios de datos frente al uso de enrevesados esquemas de tablas y procesos ETL. Los dominios surgen de forma natural en función de los requisitos de la aplicación y de la comunidad de usuarios. Seguridad, esquemas y validación: MongoDB cuenta con múltiples capas de seguridad, incluida la protección por contraseña sobre el cifrado in flight y at rest, además del cifrado granular field-level. Todo ello con gestión externa de claves. Dé el siguiente paso en la modernización del mainframe Dado que muchas funciones bancarias básicas son transaccionales y pueden gestionarse con el procesamiento por batch diarios, los mainframes siguen siendo la columna vertebral de nuestro sistema financiero. La modernización de los mainframes puede parecer desalentadora, pero no tiene por qué serlo. Los bancos pueden optar por seguir un camino sencillo y predecible que les permita modernizarse de forma iterativa. Pueden recibir los beneficios de la modernización en un área de la organización incluso si otros grupos se encuentran más adelantados en su camino de modernización. Es posible hacerlo sin dejar de cumplir la cada vez más compleja normativa sobre privacidad de datos y, lo que es más importante, minimizando los riesgos. Los bancos y otras instituciones financieras que se han modernizado con éxito han experimentado reducciones de costes, un rendimiento más rápido, prácticas de cumplimiento más sencillas y ciclos de desarrollo más rápidos. Las arquitecturas nuevas y flexibles han acelerado la creación de servicios de valor añadido para consumidores y clientes corporativos. Si está preparado para obtener más información sobre cómo puede acelerar su transformación digital minimizando el riesgo, acceda ahora al documento " Las 5 fases de la modernización bancaria "

March 23, 2023

MongoDB Releases “Focus Mode” in Compass GUI

We’re excited to announce an improvement to the aggregation-building experience in MongoDB Compass. Compass already makes it easy to view and manage your MongoDB databases, and with the addition of Focus Mode you now have the option to dial in on specific stages within your aggregation pipeline. Overview MongoDB's Query API and Aggregation Pipelines enable easy retrieval and processing of data from collections. They also facilitate complex operations such as filtering, grouping, and transforming, making computation and analysis effortless. MongoDB Compass' intuitive interface simplifies the process of building aggregations by enabling developers to easily create, test, and refine aggregation pipelines, and the introduction of Focus Mode takes this a step further. When constructing pipelines, having to simultaneously view and consider multiple stages can make it challenging to analyze the impact of a specific stage, leading to increased cognitive load. Now, developers can toggle Focus Mode on stages, opening a view that focuses exclusively on the contents of the specific stage they are working on. This view can also be used to view sample input (before the aggregation stage is applied) and output (after the stage is applied) documents, aiding in the understanding, troubleshooting, and optimizing of the data pipeline. Developers can also switch between different stages by accessing a drop-down menu at the top of their screen. This makes identifying inefficiencies and optimizing performance easier, as well as providing deeper insights from the output documents for data-driven decision making. Focus Mode offers a streamlined and distraction-free environment for working with stages, improving the efficiency and precision of testing, debugging, and analyzing the impact of each stage on the data, ultimately simplifying the creation and management of pipelines. Conclusion The addition of Focus Mode is part of our continued refresh of the query and aggregation experience in Compass. These improvements are made possible thanks to the feedback of our developer community, so we encourage you to try out this new feature and let us know what you think! To learn more about Aggregation Pipeline Builder in Compass, visit our documentation .

March 21, 2023

Women Leaders at MongoDB: Why Kanika Khurana is Leading with Transparency

March is Women’s History Month. Our women leaders series highlights MongoDB women who are leading teams and empowering others to own their career development and build together. Kanika Khurana, Technical Services Manager, shares how she leads with transparency, the importance of taking smart risks, and enabling team members to have the “courage to fall and rise again”. Tell me a bit about your team. I oversee the Cloud Technical Services team in India. Our team provides technical advice and support to MongoDB customers by acting as subject matter experts to clear blockers and recommend best practices, enabling customers to build next-generation applications. What characteristics make a good leader? I think that a good leader comes to know and value their employees' unique skills and abilities. They determine how to capitalize on their team’s strengths and tweak the environment to meet their larger goals. By taking the time to understand each employee, a great manager shows that they see their people for who they are. Have you faced any challenges as a woman growing your career in leadership? One of the criticisms I’ve faced over the years is that I’m an emotional thinker, which somehow hampers my decision-making. However, while I tend to be a more relationally-oriented decision maker, I’ve used this characteristic to help advance my career. Listening to and involving team members in essential conversations has enabled me to make more logical, reasonable, and healthier decisions. What is the biggest lesson you’ve learned throughout your career? The best leaders are transparent. They admit mistakes, ask for forgiveness, and make bad situations right. These “failures” aren’t signs of weakness but rather strengths. Mistakes are inevitable, and what we learn from them is what determines the course of our success. Trying to look perfect isn’t authentic, creates stress, and models unhealthy perfectionism. Through transparency, you build stronger relationships and an environment where a commitment to doing the right thing impacts the culture and the bottom line. The best thing you could do is to offer an Eden to your team, which allows them to grow and thrive, rather than creating an environment where the fear of making a mistake overtakes the courage to fall and rise again. What’s your advice to other women looking to grow their careers as leaders? I advise other women to be brave and take risks. Sticking to the safest option can be tempting, but you are unlikely to achieve growth and innovation if you’re not open to new steps or strategies. Of course, risks should be calculated, but carefully considering risks can progress your career. Be a little risky, take a leap, give it a try, speak up, and be kind but convicted in your effort to take a seat at the table. Join us to make an impact on your career and the future of technology. Find open roles on our careers site today.

March 21, 2023

Submit Your Nominations for the 2023 MongoDB Innovation Awards

Nominations are now open for the 2023 MongoDB Innovation Awards. These awards aim to celebrate and recognize organizations that dream big and are pioneering new ways to use data, expanding the limits of technology, and enhancing their businesses with MongoDB. We invite you to nominate an organization that is building something dynamic, interesting, or innovative with MongoDB. Submit Your Nomination Past recipients include 7-Eleven, American Airlines, Barclays, Bosch, Comcast, Epic Games, IBM, LinkedIn, Pioneera, and Sogei. Read more about last year’s winners here . This year, we’re excited to offer a robust prize package. Our 2023 winners will receive*: An Innovation Award trophy 10 passes (per organization) to a MongoDB.local event of your choosing Inclusion in the MongoDB Innovation Awards announcement materials and social media Digital badge to display all year long A customer feature story on MongoDB.com MongoDB Atlas credits A tailored MongoDB Day, designed to enable your technical team members to deliver solutions better and faster Submissions will be accepted through April 21, 2023 and winners will be notified by the MongoDB team by the end of May 2023 . Read more about each of the award categories below. Award categories Optimizing for Impact This will be awarded to an organization that realized tremendous business benefits by leveraging MongoDB, with an impact on its bottom line (time savings, cost savings, and/or reduction in operational complexity). Industry Transformation This will be awarded to a change-maker who moved their business to the next level and disrupted their industry by identifying new technologies, applying new skills, or increasing operational efficiency. Inspiring Innovation This will be awarded to an organization that is using MongoDB to make a better world possible. They are creatively expanding the limits of technology to solve societal, community, medical, or educational challenges. Building the Next Big Thing This will be awarded to a small- or medium- sized business that has been building its core offering/service on MongoDB Atlas from the beginning. They are leveraging MongoDB's data developer platform to build and scale some of the world's most innovative projects in data. * View terms and conditions We look forward to receiving your nominations!

March 20, 2023