Learn how to replicate MySQL change data into data warehouse targets including Hadoop, Amazon Redshift, and Vertica, with end-to-end extractor/applier patterns and high-throughput batch strategies.
This session explains how each target works: Hadoop via Hive-compatible CSV materialization, Vertica using cpimport and merge via JDBC, and Redshift using S3 staging with COPY and merge, plus required object mappings and DDL generation with DDLScan for base and staging tables.
You’ll review prerequisites, tungsten.ini examples, Redshift AWS JSON config keys, and how to tune block commit size/interval for faster bulk apply while preserving consistency guarantees.