2013 DATA @ NFLX (Tableau User Group)
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This document summarizes Netflix's big data capabilities and how they use Tableau to analyze and visualize their data. Some key points: 1. Netflix collects up to 100 billion data events per day across multiple tables exceeding 10 billion rows daily, totaling over 2 petabytes of compressed data stored in Amazon S3 buckets. 2. Their Hadoop cluster contains 2,000 EC2 nodes with 22.5 terabytes of RAM used to process this massive amount of data. 3. Tableau is used across many Netflix teams like Data Science, Platform, and IT to visually explore, analyze, and present their big data in a more user-friendly way than Excel. 4. Tableau enables teams
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2013 DATA @ NFLX (Tableau User Group)
- 1. DATA @ NFLX SFBATUG 2013.08.20
- 2. We’ve got Big Data How Big?
- 3. This Big ●Up to 100B data pipeline events a day ●Multiple tables exceed 10B rows a day ●2PB data compressed in S3 buckets ●Some tables exceed 1 TB uncompressed... for one day of data ●Hadoop cluster(s) ○2,000 m1.xlarge EC2 nodes ○22.5TB of RAM (OK, really 15GB RAM per node)
- 4. Where does Tableau fit with our Big Data?
- 6. Who uses Tableau? ●Data Science & Engineering ○Streaming ○Content Delivery ○Payments ●Platform Team ●FP&A ●IT
- 7. How do we use Tableau? ●Not super sophisticated ○Not Minard graphs ○Maybe a little bit of Hans Rosling ○Lots of Stephen Few ●Better Excel ○Visual exploration ○Custom analysis ●Storytelling ○“Walking through” data ○Presentations
- 8. Dive into Tableau Server
- 12. First Viz!
- 14. Tableau Server ●Email ●Interact on web ●Automate data loading
- 15. Architecture
- 17. Benefits ●Enabled teams with little to no experience in reporting to visualize and share data ●Quick analysis ●Enriches our reporting toolset
- 18. Challenges ●Metadata ●AWS connectivity ●Information silos ●Tool proliferation
- 19. Questions?
Editor's Notes
- #8: Line, bar, scatter, heat map, geo shapes, Pareto/CDF, percent of total