Personal Information
Entreprise/Lieu de travail
Within 23 wards, Tokyo, Japan Japan
Profession
Analytics Client Architect at IBM (Analytics/ CLOUD)
Secteur d’activité
Technology / Software / Internet
À propos
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...
Mots-clés
ibm
apache spark
data science experience
spark
hadoop
hortonworks
machine learning
data scientist workbench
data science
biginsights
bigsheets
Tout plus
- Présentations
- Documents
- Infographies
The New Retail Revolution: Connected Store
IBM Internet of Things
•
il y a 7 ans
Regulatory Reality Check: Improve trust, compliance and visibility with IoT and blockchain
IBM Internet of Things
•
il y a 5 ans
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
Carol Smith
•
il y a 6 ans
ライトプランで利用可能な分析基盤「IBM Analytics Engine (IAE)」とは
Kimihiko Kitase
•
il y a 6 ans
20180109 titech lecture_ishizaki_public
Kazuaki Ishizaki
•
il y a 6 ans
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
Ryuji Tamagawa
•
il y a 6 ans
Ingesting Data at Blazing Speed Using Apache Orc
DataWorks Summit
•
il y a 6 ans
Inside Apache SystemML by Frederick Reiss
Spark Summit
•
il y a 8 ans
マッチングアプリの作り方
IBM Analytics Japan
•
il y a 7 ans
Ibm クラウドデータベースの使いどころ
japan_db2
•
il y a 7 ans
Ibm cloud and watson iot 20160616
Tsuyoshi Hirayama
•
il y a 7 ans
dots. 7/7 DSWBハンズオン資料
s. kaijima
•
il y a 7 ans
Comparison of various streaming technologies
Sachin Aggarwal
•
il y a 8 ans
Walmart & IBM Revisit the Linear Road Benchmark- Roger Rea, IBM
Redis Labs
•
il y a 8 ans
Kafka and Stream Processing, Taking Analytics Real-time, Mike Spicer
confluent
•
il y a 8 ans
2016-06-15 Sparkの機械学習の開発と活用の動向
Yu Ishikawa
•
il y a 7 ans
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）
hamaken
•
il y a 7 ans
AI Monetization Landascape in US
Osaka University
•
il y a 8 ans
Apache Spark MLlib 2.0 Preview: Data Science and Production
Databricks
•
il y a 7 ans
JVM上でのストリーム処理エンジンの変遷
Sotaro Kimura
•
il y a 8 ans