Lessons Learned from Managing a Petabyte
Summary: Empirical lessons from operating petabyte-scale HEP data (BaBar), contrasting a commercial ODBMS and a home-grown file-based object persistence to expose scale-driven operational, tuning, deployment, and scalability pitfalls. Distills format-independent challenges and tradeoffs across two major system iterations. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jacek Becla
- 2. Daniel L. Wang
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