Invite Your Boss to the Business Track at MongoNYC

Meghan Gill
May 23, 2013 | Updated: May 22, 2015
#mongodb days

MongoDB Days have traditionally been focused on the developer community, with lots of technical talks on application design, deployment best practices, and ops war stories. MongoNYC will carry on the tradition of including many deep technical sessions, with talks from the 10gen staff on the latest features in 2.4, as well as presentations from MongoDB community members on their experiences deploying MongoDB in real-world scenarios.

But this year at MongoNYC, we’re introducing a new track aimed at IT managers, directors, and C-level executives who aren’t knee-deep in code. The business track will include case studies from 10gen customers with a focus on the business benefits of using MongoDB, such as reduced cost, new revenue streams and competitive advantaged. We’ll look at the steps enterprises take to adopt NoSQL and open-source technologies, and how you can learn from their experiences.

Here are some of the talks included on the business track at MongoDB NYC:

Telefonica explains how it reduced development time by over 80% from its previous Oracle implementation, building a rich, globally available user data management system.
ADP describes how it built a mobile app in just a few months to let customers view payroll and benefits information on their devices of choice, differentiating ADP from stale on-premise solutions.
Criteo shows how it supported 200,000% growth over five years and global expansion to 7 continents migrating away from SQL Server to MongoDB for its core business, improving online shopping by bringing the performance of search to display advertisers.
And more.

So if you’re a developer or DBA who loves MongoDB, but you’ve only been able to use it for small or side projects, consider inviting your boss to MongoNYC this year. Or, attend the business track and return to the office as an advocate for the business advantages of MongoDB in your enterprise.

For more information on MongoDB NYC or to register, please visit http://www.10gen.com/events/mongonyc-2013. Tomorrow is your last chance to register at the early bird rate, which is only $75. Looking forward to seeing you there.

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New Geo Features in MongoDB 2.4

Motivation Geometric processing as a field of study has many applications, and has resulted in lots of research, and powerful tools. Many modern web applications have location based components, and require a data storage engines capable of managing geometric information. Typically this requires the introduction of an additional storage engine into your infrastructure, which can be a time consuming and expensive operation. MongoDB has a set of geometric storage and search features . The MongoDB 2.4 release brought several improvements to MongoDB’s existing geo capabilities and the introduction of the 2dsphere index . The primary conceptual difference (though there are also many functional differences) between the 2d and 2dsphere indexes, is the type of coordinate system that they consider. Planar coordinate systems are useful for certain applications, and can serve as a simplifying approximation of spherical coordinates. As you consider larger geometries, or consider geometries near the meridians and poles however, the requirement to use proper spherical coordinates becomes important. In addition to this major conceptional difference, there are also significant functional differences, which are outlined in some depth in the Geospatial Indexes and Queries section of the MongoDB documentation. This post will discuss the new features that have been added in the 2.4 release. What’s New Storing non-point geometries Unlike the 2d index, which only allowed the storage of points, the 2dsphere index allows the storage and querying of points, lines, and polygons. To support the storage of different geometries, instead of introducing a proprietary format, MongoDB conforms to the GeoJSON standard. GeoJSON is a collaborative community project that produced a specification for encoding entities in JSON. It has garnered significant support, including the OpenLayers project , PostGIS , and has growing language support for python and ruby . Here are a few simple examples of GeoJSON embedded documents: A BSON Document with a GeoJSON Point embedded in the geo field: { geo: { type: “Point”, coordinates: [100.0, 0.0] } } A BSON Document with a GeoJSON LineString embedded in the geo field: { geo: { type: “LineString”, coordinates: [ [100.0, 0.0], [101.0, 1.0] ] } } A BSON Document with a GeoJSON Polygon embedded in the geo field: { geo: { type: “Polygon”, coordinates: [ [ [100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0] ] ] } } Note: A GeoJSON Polygon’s coordinates are an array of arrays of point specifications. Each array of point specifications should have the same starting and ending point to form a closed loop. The first array of point specifications defines the polygon’s exterior geometry, and each subsequent array of point specifications defines a “hole” in the polygon. Polygons should be non self-intersecting, and holes should be fully contained by the polygon. Inclusion searches on a sphere The new $geoWithin operator, which takes a Polygon geometry as a specifier, returns any geometries of any type that are fully contained within the polygon. It will work well without any index, but must look at every document in the collection to do so. Intersecting geometries on a sphere The new $geoIntersects operator, which takes any geometry as a specifier, returns any geometries that have a non-empty intersection with the specifier. $geoIntersects also works well without an index, and must also look at each document in the collection. Better support for compound indexes The 2d index can only be used in a compound index if 1. it is the first field, 2. there are exactly two fields in the compound index, and 3. if the second field isn’t a 2d index. 2dsphere indexes aren’t limited in this way, which allows us to pre-filter based on a non-geo field - which is often more efficient. Consider the following queries: Find me Hot Dog Stands in New York state i.e. use a compound index: (business_type, location). Find me geometries in New York state that are Hot Dog stands i.e. use the compound index: (location, business_type) The first query will be much more efficient than the second, because business_type is a simple text field, and greatly reduces the set of geometries to search. Additionally, we can have multiple 2dsphere indexes in the same compound index. This allows queries like: “Find routes with a start location within 50 miles from JFK, and an end location within 100 miles of YYC”. How it Works Everything starts when you insert a geometry into a 2dsphere index. We use the open source s2 C++ library from google to select a minimal set of cells that fully cover a geometry. This set of grid cells is called a covering, and the size of the cells is dynamic (between 500m and 100km on a side) based upon the size of the polygon being covered. fig 3 - A very low granularity covering of the entire United Kingdom fig 4 - A fairly granular covering of the A4 around Trafalgar Square. Each cell in these coverings is now added to a standard B-tree index, with a key that is easily calculable by the location on surface of the sphere - more granular(smaller) cells will have the same prefix as a larger cell that occupies the same area of the surface of the sphere. Intersection & Within searches Finding geometries that may be intersecting or within a search polygon becomes as easy as generating a covering for the search specifier, and for each cell in that covering, query the B-tree for any geometries that interact with these cells. Once the list of possibly interacting geometries has been retrieved from the index, each geometry in checked in turn to see if it should be included in the result set. Near searches The near search provided by the $near operator is implemented by doing $within searches on concentrically growing donuts (circular polygons with with circular holes). We encourage user feedback and testing on these new Geo features and are excited to see what the community builds. Map images ⓒ OpenStreetMap contributors, licensed under the Creative Commons Attribution-ShareAlike 2.0 license (CC-BY-SA). Map data ⓒ OpenStreetMap contributors, licensed under the Open Data Commons Open Database License (ODbL).

May 21, 2013

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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