PostgreSQL to Iceberg - Streaming Lakehouse Foundations
Stream Real-Time Data from Postgres to Iceberg with Change Data Capture and Estuary. In this step-by-step tutorial, we demonstrate how to set up and stream real-time data from a PostgreSQL database into Iceberg tables using change data capture (CDC) with Estuary. Learn how to capture, ingest, and materialize data using Estuary's seamless integration. This demo uses a sales database to showcase how changes in a PostgreSQL table are tracked and replicated into an Iceberg table stored in AWS S3.
Check out Estuary's Iceberg integration: https://estuary.dev/destination/s3-iceberg/
Join Estuary's community Slack: https://estuary-dev.slack.com/join/shared_invite/zt-86nal6yr-VPbv~YfZE9Q~6Zl~gmZdFQ#/shared-invite/email
00:00 - Introduction: Streaming Data from Postgres to Iceberg
00:18 - Postgres Sales Database Overview
01:08 - Starting Change Data Capture (CDC) with Estuary
02:09 - Materializing Data into Apache Iceberg
04:17 - Backfilling Data into Iceberg
05:21 - Querying Iceberg Tables with Python
06:10 - Conclusion: Demo Recap
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Real-time Data Products with Estuary - Ad Performance
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SQL Server CDC to Snowflake + ClickHouse in Real Time (Fan-Out Demo)
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PostgreSQL CDC: What, Why, and How
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What’s Next for Data Warehouses? Lessons from Our Benchmark and Emerging Trends
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Estuary Overview
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Seamless Data Integration, Unlimited Potential
Discover the simplest way to connect and move your data.Get hands-on for free, or schedule a demo to see the possibilities for your team.