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Real-time MongoDB CDC with Confluent and Tinybird

Learn how to build a real-time analytics pipeline based on MongoDB change data streams with Confluent and Tinybird.

MongoDB has become the go-to NoSQL database for developers, offering exceptional real-time performance with schemaless design. Its ability to handle real-time transactions at scale makes it extremely popular among developers.

MongoDB can handle some level of query complexity, but to perform real-time analytics with MongoDB at scale, you may need to land MongoDB tables into a data system optimized for analytics with streaming data.

Join this session to learn how to use Confluent and Tinybird to build a real-time analytics pipeline over MongoDB CDC data.

In this session, you'll learn:

  • How to produce MongoDB CDC streams onto a Kafka topic with the Confluent MongoDB Atlas Source Connector
  • How to consume MongoDB change events from Confluent using Tinybird's native Confluent Connector
  • How to deduplicate records from MongoDB to maintain a consistent replica in Tinybird
  • How to design a performant table schema in Tinybird to build real-time analytics over MongoDB data
  • SQL best practices for querying MongoDB change streams in real time.

Have questions? Join us on Slack

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Live coding session

When: September 17, 2024 at 15:00 UTC

Duration: 60 minutes

Who:
Jim Moffitt

Jim Moffitt

Developer Advocate

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