~/talk

One day with Redshift

Talkat Data Science Conference 4.0 · 2018-09-18..09-19· [data-engineering, databases]
linkedin:bojansovilj
slides:none on file

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.

AI-written summary · about

  1. 0:00Intro
  2. 0:32Redshift Cluster
  3. 1:35Why cloud
  4. 3:44Redshift
  5. 4:42Columnar vs transactional
  6. 5:48Parallel process
  7. 6:25Architecture
  8. 7:52Smart Bookie
  9. 13:08AWS Console
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