Green Data is the new Big Data
summary
Data center power use is already about 8% now, 21% by 2030 and the proposed fix is design choices not slogans: favor serverless and SaaS to match demand, compress and encrypt stored data, and apply lifecycle policies to keep only weeks or months of hot data. Example pipeline built on AWS: AWS Lambda → S3 (bronze/silver in Parquet) → Glue DataBrew → Snowflake → QuickSight/Tableau, which runs transiently, reduces compute, cuts storage and cost, and is framed from user needs not tech vanity.
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chapters (12)
- 0:00Start
- 0:47Who Am I?
- 2:22Data Hype Scale
- 3:26Data is not complicated
- 5:42Have you ever been in a data center?
- 7:24With serverless, forget over-provisioning
- 8:49Know your formats
- 10:07The Data Journey
- 12:17Talk to humans: ideation techniques
- 14:50Serverless Data Journey
- 17:47Conclusion
- 18:38And now... the results!
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