Data @Scale, June 2016 — Recap

This post is a recap of the Data @Scale conference, highlighting talks on exabyte storage systems (Dropbox), analytics for storage systems (Qumulo), MPP Shared-Nothing Database on Flash (Facebook's Presto Raptor), lessons from studying modern databases and key-value stores (University of Wisconsin-Madison), flexible consistency levels with Manhattan (Twitter), scale-out resource management with YARN++ (Microsoft), Apache Beam for unified batch and streaming data processing (Google), data integration for visual analysis (Tableau), and disaggregated storage and compute for Map/Reduce (Facebook).