~/talk

Turn Data Into Insights

Talkat AWS Summit Online 2020 · on Wednesday, 2020-05-13· [data-engineering]
slides:none on file

Epic Games processes over 14 petabytes in S3 and grows by petabytes per month, ingesting telemetry through Amazon Kinesis → split real-time and batch pipelines into EMR/Spark, Redshift and DynamoDB with Grafana dashboards. AWS Lake Formation automates cataloging and access, S3 gives object-level security and three encryption modes, and EMR plus EC2 spot instances cut costs (IDC cites 57% lower TCO; EMR runs Spark 10x faster, Redshift claims 2x speed). Real-time analytics detect issues and measure player response to updates.

AI-written summary · about

  1. 0:00Start
  2. 0:24Epic Games continually improves Fortnite for 250+ million players globally
  3. 3:02Data is a strategic asset for every organization
  4. 6:35Cloud data lakes are the future
  5. 7:21Why choose AWS for data lakes and analytics?
  6. 10:17Easiest to build data lakes and analytics
  7. 13:08Most secure infrastructure for analytics Services for security and governance
  8. 14:44Most comprehensive and open
  9. 18:103. Open standards, formats, and Apache open source
  10. 18:29Most scalable, cost-effective infrastructure for analytics
  11. 20:51Complemented by AWS Partner Network (APN)
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