Resources

Serverless Application Development with MongoDB Atlas and Cloud Run

Unified Developer Experience: Why Build Your Mobile Apps on MongoDB?

2pm GST For mobile developers, building apps that users love, run quickly, respond to real-time data changes, and work regardless of signal strength is the ultimate goal. Whether you are in the retail industry, mobile payments, e-commerce, gaming, health or sport, the potential of mobile applications is infinite and affects most businesses. During this webinar, we will talk about one of the key features of the MongoDB Developer Data Platform: Atlas App Services. You will learn more about: MongoDB Atlas: How to Unify the Developer Experience on a Single Application Platform Realm: how to create and launch mobile apps in the cloud Atlas Device Sync: how to extend your Atlas database with a serverless Data Lake (S3 bucket) The purpose of this session is to show how Atlas App Services drastically makes it easier to build mobile apps and get them up and running, synchronizing data between users, devices and your back-end, even in off-line mode.

Security & Queryable Encryption Webinar Hong Kong

During this webinar 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 get your questions answered during the session. Webinar Details ： Date : Dec. 15 Time : 14:00 - 15:00 HKT Speakers ： Gabriel Woo, Regional Vice President, MongoDB Cathlon Lau, Advisory Solutions Architect, MongoDB Kenneth Ng, Engagement Manager Language : Cantonese

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 named a Leader in The Forrester WaveTM: Translytical Data Platforms, Q4 2022

Forrester evaluated the MongoDB Atlas developer data platform as a Leader in translytical data platforms, demonstrating to us the platform and customer momentum MongoDB has established in the market. Translytics represents the growing convergence between transactional, analytical, and streaming systems. The goal of translytics is to help organizations increase the speed of business insights and build smarter apps. MongoDB was rated by Forrester among the 15 top vendors for its current offering, strategy, and market presence, and landed among the Leaders. Forrester gave MongoDB the highest scores possible in these criteria: Number of customers Performance Scalability Dev Tools/API Multi-model Streaming Cloud / On-prem / distributed architecture Commercial model We believe that our MongoDB Atlas developer data platform unifies the core data services needed to make smarter apps and improved business visibility a reality by seamlessly bridging the traditional divide between transactional and analytical workloads in an elegant and integrated data architecture. Download the full report, The Forrester WaveTM: Translytical Data Platforms, Q4 2022, and find out why Forrester positioned MongoDB as a Leader.

Atlas Search eWorkshop

10am GMT Join the MongoDB team for a 2.5 hour fully interactive, hands-on, virtual workshop. During this time you will be guided to solve challenges using our MongoDB Atlas Data Platform, with a focus on MongoDB Atlas Search. The workshop will be led by our team of senior solution architects, and will provide you with exclusive direct access to our expert panel. What we will cover: Creating data relationships using our powerful aggregation framework Creating search indexes Writing complex search queries on top of Atlas Search, our sophisticated search engine that offers advanced search capabilities like autocomplete, fuzzy search, highlighting, relevance, and more! Using rules to expose collections to be queried with Graphql directly from our Realm backend Auto-generating schemas Writing custom resolvers powered by our aggregation pipelines And so much more! At the end of the workshop, you will be able to fork a frontend application and test your development. Attendees will receive $50 in MongoDB Atlas credit. Places are very limited so act quick to reserve your spot.

MongoDB Atlas eWorkshop 101

10am - 1pm GMT Join the MongoDB team and enjoy 3 hours of free online labs to help you make the most of MongoDB Atlas (a fully managed cloud database). MongoDB Atlas ensures that when deploying a cluster in the cloud provider of your choice, the database will be run according to operational and security best practices. Join us in this exclusive workshop and get a full technical overview and demo of MongoDB Atlas followed by hands on exercises and direct access to our expert panel. During this time, you will learn how to: Create a database cluster using MongoDB Atlas Secure the database & Load sample data Create indexes and leverage them in your aggregation pipelines using Atlas Get started with MongoDB Charts and create visual representations of your data And so much more! Attendees will receive $50 in MongoDB Atlas credit. Places are very limited so act quick to reserve your spot.

Data Modeling w/ MongoDB

11 AM ET A frequently asked question in the MongoDB community is “I’m designing an application to do X, how do I model the data?” In this live webinar we will examine the most important considerations when making decisions about your data model, so that you can create the model that best fits your application. You will learn: The differences between data modeling in MongoDB vs. relational databases The key considerations for data modeling with MongoDB How to further enhance the power of the document model with schema design patterns Register today to save your spot. We look forward to seeing you there!

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.

Forrester Study: What’s Driving Next-Generation Data Platform Adoption in Financial Services

MongoDB commissioned Forrester Consulting to conduct a study questioning global IT decision makers at financial services and fintech organizations to evaluate the impact they are experiencing when adopting next-generation data platforms – which have become foundational for financial services to address diverse new workloads and modern applications. Download the 'What’s Driving Next-Generation Data Platform Adoption in Financial Services' study to learn about organizations’ needs and plans for using next-generation data platforms. Study highlights: Nearly 90% of respondents say they are using a next-generation platform today, with 51% planning/currently using it for fraud detection, and 46% for risk management/analytics Multi/hybrid cloud is the top feature driving investment High costs and complexity are the top challenges respondents are facing with their current database Legacy infrastructure is too expensive and cannot keep up with current and future demand The benefits respondents are experiencing when adopting next-gen data platforms include minimizing data inconsistencies, expanding geographical coverage, and freeing up resources

Application-Driven Analytics: In-App and Real-Time Insights for Retailers

Build deeper business insights with in-app analytics and real-time business visibility In today’s competitive digital ecommerce landscape, retailers are fighting for the attention of shoppers who are tech-savvy, mobile, and receiving ads for hundreds of deals and promotions across multiple platforms every day. Today’s consumers expect personalized digital shopping experiences that offer dynamic and relevant recommendations, too. Modern retail applications will be defined by their ability to drive better customer experiences, surface insights, and take action directly within the application on live operational data, in real time. As analytics “shift left” to the source of the data, application developers take on the task of delivering next generation data analytics to their organizations. Application-driven analytics can be leveraged to meet two broad use cases: In-App Analytics and Real-Time Business Visibility. This paper reviews: How retailers can improve internal operations using the capabilities of the MongoDB developer data platform through both in-app analytics and real-time business visibility A personalization use case that includes integration with external machine learning engines like Amazon SageMaker and Databricks Fill in the form with your details to read the white paper.