Introduction
In Part 1, we set up a real-time data pipeline that streams PostgreSQL changes to Amazon S3 using Kafka Connect. Here’s what we accomplished:
- Configured PostgreSQL for CDC (using logical decoding/WAL)
- Deployed Kafka Connect with JDBC Source Connector (to capture PostgreSQL changes)
- Set up an S3 Sink Connector (to persist data in S3 in Avro/Parquet format)
In Part 2 of our journey, we dive deeper into the process of streaming data from PostgreSQL to S3 via Kafka. This time, we explore how to set up connectors, create a sample PostgreSQL table with large datasets, and leverage ksqlDB for real-time data analysis. Additionally, we’ll cover the steps to configure AWS IAM policies for secure S3 access. Whether you’re building a data pipeline or experimenting with Kafka integrations, this guide will help you navigate the essentials with ease.
Continue reading “Stream and Analyze PostgreSQL Data from S3 Using Kafka and ksqlDB: Part 2”