Modernize Your Data Warehouse

on YouTube ↗22m

" summary

Migrating on-premises data warehouses to cloud-based lakehouse architectures using AWS to reduce cost, improve performance, and keep existing SQL skills. The talk covers moving to a cloud data warehouse/lakehouse approach that combines data warehouse and data lake features to unlock better analytics and functionality while lowering expenses.

AI-written summary · about

" chapters (13)

1. 0:00Introduction
2. 1:52Modern platform requirements
3. 3:00Why Amazon Redshift
4. 6:57Customer success cases
5. 7:40Migrating to Redshift
6. 9:03AWS migration tools
7. 11:10Migration best practices
8. 13:21ETL and script migration
9. 14:47Source engine considerations
10. 15:55Redshift key features
11. 18:22New data types and security
12. 19:29Automatic performance tuning
13. 20:12Additional resources

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