Incubating Apache Hivemall
Talk at Plazma OSS day on Feb 15, 2018. https://techplay.jp/event/650389
Planet-scale Data Ingestion Pipeline: Bigdam
1. Planet-scale Data Ingestion Pipeline Bigdam PLAZMA TD Internal Day 2018/02/19 #tdtech Satoshi Tagomori (@tagomoris) 2. Satoshi Tagomori (@tagomoris) Fluentd, MessagePack-Ruby, Norikra, Woothee, ... Treasure Data, Inc. Backend Team 4. • Design for Large Scale Data Ingestion • Issues to Be Solved • Re-designing Systems • Re-designed Pipeline: Bigdam • Consistency • Scaling
User Defined Partitioning on PlazmaDB
1. T R E A S U R E D A T A USER DEFINED PARTITIONING A New Partitioning Strategy accelerating CDP Workload Kai Sasaki Software Engineer in Treasure Data 2. ABOUT ME - Kai Sasaki (@Lewuathe) - Software Engineer in Treasure Data since 2015 Working in Query Engine Team (Managing Hive, Presto in Treasure data) - Contributor of Hadoop, Spark, Presto 3. TOPICS PlazmaDB PlazmaDB is a metadata storage for
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Journey of Migrating Millions of Queries on The Cloud
History of Event Collector in Treasure Data
