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We'll discuss a Change Data Capture (CDC) architecture with a schema registry. As a starting point, a local development environment is set up using Docker Compose. The Debezium and Confluent S3 connectors are deployed with the Confluent Avro converter and the Apicurio registry is used as the schema registry service. A quick example is shown to illustrate how schema evolution can be managed by the schema registry.

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Change data capture (CDC) on Amazon MSK and ingesting data using Apache Hudi on Amazon EMR can be used to build an efficient data lake solution. In this post, we'll build a Hudi DeltaStramer app on Amazon EMR and use the resulting Hudi table with Athena and Quicksight to build a dashboard.

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Change data capture (CDC) on Amazon MSK and ingesting data using Apache Hudi on Amazon EMR can be used to build an efficient data lake solution. In this post, we'll build CDC with Amazon MSK and MSK Connect.

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Change data capture (CDC) on Amazon MSK and ingesting data using Apache Hudi on Amazon EMR can be used to build an efficient data lake solution. As a starting point, we’ll discuss the source database and CDC streaming infrastructure in the local environment.

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Triggering a Lambda function by an EventBridge Events rule can be used as a serverless replacement of cron job. The highest frequency of it is one invocation per minute so that it cannot be used directly if you need to schedule a Lambda function more frequently. In this post, I’ll demonstrate another serverless solution of scheduling a Lambda function at a sub-minute frequency using Amazon SQS.