Big Impact from Big Data
summary
Facebook treats Hadoop as the store of lowest‑grain event data and uses relational systems for transformed, aggregated and trending analysis; exploratory queries run in Hadoop while operational slicing runs in relational. A hybrid embedded analytics model centralizes standards but places analysts inside product teams. Training (Data Camp) splits 50% tools and 50% question framing. Analysts must own outcomes: examples include a friend‑finder feature from social‑graph analysis and a goal to move registration by 5% rather than just report insights.
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chapters (5)
- 0:00Introduction
- 0:29Big Data isnt about technology
- 1:25Hadoop vs Relational
- 3:39Better and Deeper Answers
- 8:46Actionable Insights
