One day with Redshift
summary
Amazon Redshift setup, tuning and a real product demo: data lands on S3 (Athena for ad hoc CSV queries), Kafka handles streams, Power BI visualizes a “smart bookie” that flags losing markets, and Redshift’s compression and advisor trim storage. Claims shown: quick cluster launch (minutes), 1.5 billion rows loaded in 10 minutes on a large cluster, a three-node dc1.large demo inserts 1.1 billion rows in 51 minutes and stores a 1 billion-row table in 43 GB. Backups run three times daily and the advisor recommends compression.
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chapters (9)
- 0:00Intro
- 0:32Redshift Cluster
- 1:35Why cloud
- 3:44Redshift
- 4:42Columnar vs transactional
- 5:48Parallel process
- 6:25Architecture
- 7:52Smart Bookie
- 13:08AWS Console
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