Atsushi Tsuchiya

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Senior IT Specialist and Technical Evangelism in emerging technology like Stream Computing, Distributed data processing, and In memory database. Recognized as Technical Lead of InfoSphere Streams and BigInsights(Hadoop) as Worldwide Big Data Tiger Team at IBM. Technical Leadership in many anchor projects, as well as demonstrated repeatedly capability of delivering new emerging technology to anchor clients. Currently appointed as a part-time instructor at Hosei University Graduate Schools - Computer Science -Database technology of Enterprise Systems (2011, 2012, 2013, 2014, 2015, 2016 , 2017) Specialties: Specializing in "break new ground" in designing systems utilizing the emerging tec...

ibm apache spark data science experience spark hadoop hortonworks machine learning data scientist workbench data science biginsights bigsheets

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About

Atsushi Tsuchiya

Presentations

Hadoop Summit Japan 2011 Fall - LT by IBM

20130612 ibm big_dataseminar_streams

Spark勉強会_ibm_20151014-公開版

Big Data University Tokyo Meetup #6 (mlwith_spark) 配布資料

データサイエンティスト協会セミナー2016 第2回 2016年7月19日

Open Cloud Innovation2016 day1(これからのデータ分析者とエンジニアに必要なdatascienceexperienceツールと考え方)講演資料

Likes

The New Retail Revolution: Connected Store

Regulatory Reality Check: Improve trust, compliance and visibility with IoT and blockchain

AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017

ライトプランで利用可能な分析基盤「IBM Analytics Engine (IAE)」とは

20180109 titech lecture_ishizaki_public

20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所

Ingesting Data at Blazing Speed Using Apache Orc

Inside Apache SystemML by Frederick Reiss

マッチングアプリの作り方

Ibm クラウドデータベースの使いどころ

Ibm cloud and watson iot 20160616

dots. 7/7 DSWBハンズオン資料

Comparison of various streaming technologies

Walmart & IBM Revisit the Linear Road Benchmark- Roger Rea, IBM

Kafka and Stream Processing, Taking Analytics Real-time, Mike Spicer

2016-06-15 Sparkの機械学習の開発と活用の動向

ちょっと理解に自信がないなという皆さまに贈るHadoop／Sparkのキホン（IBM Datapalooza Tokyo 2016講演資料）

AI Monetization Landascape in US

Apache Spark MLlib 2.0 Preview: Data Science and Production

JVM上でのストリーム処理エンジンの変遷

InfoSphere Streams toolkits :Real-Time Analytics on Data in Motion

【19-D-1】人間と機械学習のはざま：どこまでアルゴリズムに任せるか

Akira shibata at developer summit 2016

CET (Capture EveryThing)プロジェクトにおける機械学習・データマイニング最前線

2015-11-17 きちんと知りたいApache Spark ～機械学習とさまざまな機能群

Performant data processing with PySpark, SparkR and DataFrame API

Display device (mqtt) data with Real Time Insights on IBM Internet of Things Foundation in Bluemix

JP version - Beyond Shuffling - Apache Spark のスケールアップのためのヒントとコツ

Using Spark with Tachyon by Gene Pang

Spark Meetup at Uber