Apache: Big Data North America 2017 will be held at the Intercontinental Miami in Miami, Florida. 

Register now for the event taking place May 16-18, 2017. 
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Tuesday, May 16 • 12:05pm - 12:55pm
Apache Hivemall: Scalable Machine Learning Library for Apache Hive/Spark/Pig - Makoto Yui, Treasure Data, Inc. & Takeshi Yamamuro, NTT

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Apache Hivemall is a scalable machine learning library for Apache Hive, Apache Spark, and Apache Pig. Apache Hivemall provides a number of machine learning functionalities across classification, regression, ensemble learning, and feature engineering through UDFs/UDAFs/UDTFs of Hive and is very easy to use as every machine learning step is done within HiveQL.

Hivemall recently started incubating at Apache Incubator from Sept 13, 2016 and the project plans the initial Apache release in Q1, 2017. In this talk, Makoto Yui will give a walk-through of features, usages, and future roadmaps of Apache Hivemall and Takeshi Yamamuro will introduce Hivemall on Apache Spark in depth.

We consider that this talk is particularly interesting and relevant to people already familiar with Apache Hive and/or Apache Spark and working on big data analytics.

avatar for Takeshi Yamamuro

Takeshi Yamamuro

Takeshi Yamamuro is a Research Engineer of NTT, a telecommunication company in Japan, working on Database backends and SIMD/GPU-aware algorithms. He is a contributor of Hivemall. He worked on porting Hivemall functions to Apache Spark and developing a Parameter Mixing module that... Read More →
avatar for Makoto Yui

Makoto Yui

Treasure Data, Inc., Treasure Data, Inc.
Makoto YUI is a Research Engineer of a Hadoop-as-a-Service startup, Treasure Data, Inc. He is leading the development of Apache Hivemall, an open source library for scalable machine learning on Apache Hive, Apache Spark, and Apache Pig. He holds a PhD degree in computer science from... Read More →

Tuesday May 16, 2017 12:05pm - 12:55pm EDT