Hands-On Lab: Analyze Data at Scale in Object Storage with MySQL HeatWave Lakehouse
MySQL HeatWave has been enhanced to allow users to process hundreds of terabytes of data in the object store in a variety of file formats like CSV, Parquet, export files from other databases like Aurora and Redshift. Customers can query data in the object store and combine it with data in the database in a single query using standard MySQL syntax.
With this capability, MySQL HeatWave provides one service for transaction processing, analytics across data warehouses and data lakes, and machine learning — without ETL across cloud services. And with no additional cost for this capability except the cost of storing the data in object store.
In this workshop, you will learn how to use MySQL HeatWave Lakehouse to process and query hundreds of terabytes of data in the object store. Understand how to load various file formats and run query processing with standard SQL syntax without the data having to leave the object store.
Take this opportunity to ask your questions directly to the MySQL team!
WHO:
- Adi Hochmann, MySQL Principal Cloud Solution Engineer