Resources

Real-Time Analytics with MongoDB Change Streams

Querying over a million data points to compute analytics takes time — which is a problem when you need real-time updates. With MongoDB, you can meet the challenges of modern analytics by delivering insights directly on fresh, operational data without time-consuming and fragile ETL. In this 20-minute presentation, you’ll learn how organizations like Rent the Runway, Verizon, and Pitney Bowes are using MongoDB for analytics to help them visualize unstructured data, deliver real-time intelligence, scale diverse workloads in the cloud, and harness the power of AI. Shrey Batra, MongoDB User Group lead, will discuss how MongoDB creates patterns of data modelling and application architecture, so any new use case can be solved in a plug-and-play type architecture, without affecting your application code. Topics include: What is Real-Time Analytics? Modelling High Volume Metrics MongoDB Change Streams [Plug-n-Play] MongoDB Atlas Triggers Solving a Real Life Example Live Q&A

TECH REMIX WITH MONGODB

MongoDB hosted a virtual session, specifically for 17LIVE. MongoDB product experts and your dedicated Account Manager will share best practices for working on Replica Set, Sharing and provide examples of how you can innovate through MongoDB. What we will cover during the session: Replica Set What is ReplicaSet Write and writeConcern Read and readConcern Sharding What is Sharding The Components - mongos, config server Shard Key Strategy Advanced Topic about Sharding

MongoDB’s Application Data Platform via Edge through Cloud to Mobile

Industry of Things World 2021 This session provides an update on why MongoDB powers some of the most popular IoT platforms today and how our application data platform just got even better with native support for time series data. Watch the recording of this presentation by Felix Reichenbach, Princ. Industry Solutions at MongoDB, speaking at this year's Industry of Things World! What you'll learn: How to reduce complexity and data duplication with MongoDB’s application data platform Learn about our new native time series support Popular IoT Use Cases with MongoDB

[Webinar Recording] MongoDB Hong Kong Certification Program Office Hour

Win prizes while getting certified by MongoDB for FREE! Certifications offered by MongoDB are recognized by professional institutions and the worldwide tech community, as representing a mastery level in MongoDB applications. During this Cantonese session, we have covered: The path to becoming a MongoDB Certified Developer, including the exam structure, study resources Best practices on preparations and learning tips How to win MongoDB Swag Box while getting certified free of charge

Data Modelling & Schema Design Patterns

MongoDB's dynamic schemas allow you to optimise your schemas based on the design models of your applications. But this power requires a lot of responsibility. We have found that many performance issues in MongoDB applications stem from a poor understanding of schema design. MongoDB provides an extremely flexible document template for your use. At the same time, the data model you are designing can dramatically speed up or slow down your application. In this session we will cover: Introduction & Schema Design overview and consideration Linking or Embedding? Dynamic Schema Modeling methodology (flexible methodology) Overview Patterns Polymorphic pattern Schema versioning pattern Attribute pattern Bucket pattern Subset pattern Wrap up and Q&A

MongoDB vs Imitators: Why Choose MongoDB

MongoDB is a general-purpose, multi-model database that supports modern, mission-critical applications around the globe. Developers have consistently ranked MongoDB as one of the most wanted databases, which has led other database providers to emulate the MongoDB API for their users. Cosmos DB is a prominent example of this, although it does not offer the same ease of use, performance, or functionality. In this webinar, we will explore the key differences between MongoDB and the Cosmos DB API emulator for MongoDB to help you decide which database is right for your applications. During the session we will be covering: MongoDB technology fundamentals, including data modeling using the document model and MongoDB architecture Introduction to MongoDB Atlas, our cloud-based application data platform A comparative analysis of MongoDB and Cosmos DB including queries, performance, deployment, management, scalability, monitoring, backup and recovery, and total cost of ownership How to seamlessly migrate from Cosmos DB to MongoDB Customer stories and use-cases

Modern Database: An Introduction to MongoDB

Does NoSQL feel like a bunch of NoSense to you? If so, listen to this webinar! In Back to Basics, we’ll teach you the fundamentals of the world’s most popular NoSQL database, MongoDB. We start with a brief overview of how data is stored in MongoDB and compare that to the legacy table-based (relational) structure you may be used to. After that, we dive deep into a demo!

MongoDB vs Imitators: Why Choose MongoDB

MongoDB is a general-purpose, multi-model database that supports modern, mission-critical applications around the globe. Developers have consistently ranked MongoDB as one of the most wanted databases, which has led other database providers to emulate the MongoDB API for their users. Cosmos DB is a prominent example of this, although it does not offer the same ease of use, performance, or functionality. In this webinar, we will explore the key differences between MongoDB and the Cosmos DB API emulator for MongoDB to help you decide which database is right for your applications. During the session we will be covering: MongoDB technology fundamentals, including data modeling using the document model and MongoDB architecture Introduction to MongoDB Atlas, our cloud-based application data platform A comparative analysis of MongoDB and Cosmos DB including queries, performance, deployment, management, scalability, monitoring, backup and recovery, and total cost of ownership How to seamlessly migrate from Cosmos DB to MongoDB Customer stories and use-cases

How to get Started on your Data Digital Transformation w/ MongoDB, Confluent and Google Cloud