Connecting distributed data to Azure CosmosDB with Apache Kafka
summary
Demo shows Confluent Cloud using Apache Kafka and ksqlDB to join clickstream and user tables into curated topics and push results into Azure Cosmos DB Sync Connector with a fully managed setup. Schema Registry enforces Avro/JSON contracts and the connector uses Kafka metadata for unique IDs (topic+partition+offset). The team provisions the connector from the UI, it catches up to existing messages and writes documents into the Cosmos container, demonstrating end to end enrichment and successful sync.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 0:47Changing the world
- 4:20Integrations with Azure
- 11:48Demo Description
- 15:03Topics
- 15:48Schema Registry
- 17:53Data Integration
- 18:28Source Connectors
- 19:38Connecting to CosmosDB
- 25:18Wrap up
related talks
14mPower real-time data streams from anywhere to Cosmos DB with Confluent
41mApache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
49mLet’s Build a Streaming Data Pipeline!
40mA Data Mesh Of Streams
44mNo More Silos: Integrating Databases and Apache Kafka
47mBuilding highly scalable IoT streaming solutions using Azure Event Hubs and MongoDB
29mApache Kafka and ksqlDB in Action : Let’s Build a Streaming Data Pipeline
01h 03mApache Kafka Event streaming platform for .NET developers
