Building a 100‑Petabyte Analytics Warehouse
summary
Criteo describes building one of Europe’s largest Hadoop clusters with Hive as the central data-processing tool, explaining how their Hive platform evolved from fragile installations on dedicated servers into a best-in-class architecture. The talk covers making the system self-healing and adding automatic scaling to handle growing workloads at petabyte scale.
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chapters (5)
- 0:00Introduction
- 10:50Analytics platform evolution
- 21:17Hive architecture challenges
- 34:19Testing Hive versions
- 42:21Q&A
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