Want to migrate your relational database to an AWS S3 data lake efficiently and in near-real time? This video guides you through an end-to-end implementation using a modern Change Data Capture (CDC) approach combined with Apache Iceberg's open table format.
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⌛ Timecodes:
0:00 - Intro
0:46 - What is Change Data Capture (CDC)?
3:16 - When to use Change Data Capture (CDC)?
4:49 - Solution Architecture
7:14 - Demo End-to-End Solution
Apache iceberg is a powerful data storage and management tool that can help you make better use of your data. I'll be explaining the different features of Apache iceberg and how it can be used to improve your data storage and management. So if you're looking for a way to improve your data storage and management, be sure to watch this video!
Apache Iceberg is an open-source high-performance format for huge analytic tables. Iceberg enables the use of SQL tables for big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, Impala, StarRocks, Doris, and Pig to safely work with the same tables, at the same time.
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