Data @Scale, June 2016 — Recap

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This post recaps the Data @Scale conference, highlighting discussions on exabyte-scale storage systems (Dropbox), intrinsic analytics for storage visibility (Qumulo), MPP shared-nothing databases on flash (Presto Raptor at Facebook), lessons from studying modern databases and key-value stores (University of Wisconsin-Madison), flexible consistency levels with Manhattan (Twitter), scale-out resource management (YARN++ at Microsoft), a unified model for batch and streaming data processing (Apache Beam at Google), data integration for visual analysis (Tableau), and disaggregated storage and compute for Map/Reduce (Facebook).