Get Insights from Time-Series Data
ㅤ Time series data becomes significantly popular in every modern applications and use cases, from social media, stock tickers to IoT connected devices. Analyzing time series data enables organizations to detect, prevent and predict events ahead of their competition as well as build more data-driven business. Let’s learn how MongoDB handles and analyzes the ever-increasing volume of time series data.
MongoDB Atlas App Services 를 이용한 데이터 기반 애플리케이션 구축
Atlas App Services는 애플리케이션 빌드 및 서비스 통합 과정에 Atlas 데이터를 더 빠르게 연결 할 수 있도록 도와주는 완전 관리형 백엔드 서비스 및 API 입니다. MongoDB Atlas App services를 사용하면 Functions, Triggers 및 API와 같은 완전 관리형 클라우드 서비스를 이용하여 단시간에 Atlas를 기반으로 프로덕션용 애플리케이션을 간단하게 구축하고 실행 할 수 있습니다. 전체 기능을 제공하는 프리티어의 이점을 누리면서 인프라 유지 관리에서 혁신으로 초점을 전환하십시요. 이 웨비나에 참여하여 APP Services 가 제공하는 기능, 데이터 통합 엑세스 및 보안 규칙을 제공하는 방법과 이를 통해 통상적인 백 엔드 코드 개발에 집중보다 고유한 기능을 구축하는 데 집중할 수 있는 방법을 알아보세요.
Migration through Live Migrate and Mongomirror
In this MongoDB office hours session Ajay Raghav, Solutions Architect MongoDB covers prerequisites to migration and the best tooling for the same. How to migrate from MongoDB Community to MongoDB Atlas with near zero downtime? Sign up for the session to be able to confidently approach migration of a MongoDB environment.
AMER November Atlas 101 eWorkshop
This Atlas 101 eWorkshop will help you use MongoDB Atlas, our fully-managed database, to increase developer and DevOps productivity by streamlining operations and management. MongoDB Atlas ensures that when you deploy your clusters in the cloud provider of your choice, your databases are run according to operational and security best practices. Register below to learn how you will gain a competitive advantage when moving to MongoDB Atlas.
MongoDB Secure by Default & Queryable Encryption APAC
In this session you will learn: How with MongoDB Atlas, your data is protected with pre-configured security features for authentication, authorization, encryption, and more. About the preview release of Queryable Encryption, which allows customers to encrypt sensitive data from the client side, store it as fully randomized encrypted data on the database server side, and run expressive queries on the encrypted data. Why there is no need to write special client-side query handling or be an expert in cryptography to deliver the highest levels of security with optimized performance. Don’t miss this opportunity to learn and sign up for the session
Built Up Analytics Platform with MongoDB Atlas
MongoDB Atlas enables the organizations with a distributed data platform for various use cases and workloads, from transactional, search, data lake to real-time analytics. This webinar focuses primarily to Atlas capabilities which supports to build up the strong analytics platform in real-time manner.
Data-as-a-Product: Shaping the future of the financial industry
Data is critical to every financial institution; it is recognised as a core asset to drive customer growth and innovation. Through the Data-as-a-Product (DaaP) paradigm, product thinking is applied to datasets to enable strong decision-making and promote a more efficient approach to data. DaaP makes company data more scalable and accessible, promoting development and innovation. The same objectives that are driving DaaP have been driving the transition from monoliths to microservices. A central characteristic of microservices architecture is that functionality (service) and state (data) are managed and owned by the same team. When data is transferred and managed by data warehouses the benefit of a microservices architecture is lost. With DaaP, the methods of decentralization applied are the same as with microservices. Making data a product means that whoever “sells” or “serves” the data is holistically responsible for all aspects of the data, non-functionals as well as semantics. As the need to leverage data efficiently increases, the technological frameworks surrounding it need to be altered. A shift towards DaaP can improve data analytics and the way banks approach data by providing them with new technical capabilities. With the development of DaaP, mainstream financial institutions can be more proactive in dealing with data and more specific around the information they collect. Watch this Finextra webinar, hosted in association with MongoDB, as industry experts discuss the following areas: What are the business problems that are triggering financial institutions rethinking their approach to data? What is Data-as-a-Product? What issues can DaaP solve? How can companies use DaaP constructively? How will financial institutions navigate this transition? What is expected with DaaP in terms of data platforms, data architecture, and data governance? Speakers include: Gary Wright - Head of Research, Finextra Joerg Schmuecker - Director, Financial Services Industry Solutions, MongoDB Nageswar Cherukupalli - SVP & Head of Capital Markets & Sales (FSI), Infosys Barb O'Malley - Head of Client Solutions Consulting, Northern Trust