Modernizing the Data Warehouse
summary
Modernizing data warehouses by combining Amazon Redshift with an Amazon S3–based data lake to implement a "lake house" approach. The session explains accessing both structured and unstructured data, increasing flexibility and lowering costs to enable faster, proactive analytics and cross-team collaboration for better business insights.
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chapters (12)
- 0:00Introduction
- 0:41Data lake strategy importance
- 2:05Nielsen success case
- 4:16Amazon Redshift benefits
- 8:11Redshift architecture and features
- 12:53Redshift node types
- 13:15Concurrent scaling and Elastic Resize
- 15:31Redshift new features
- 18:23Redshift federated queries
- 19:28Redshift migration strategies
- 21:57AWS migration tools
- 22:47Learning resources and closing
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