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Organization / Workplace
Tokyo Japan
Occupation
Software Developer
Website
gomlog.com
About
wanna be a rubyist
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大量のデータ処理や分析に使えるOSS Apache Sparkのご紹介（Open Source Conference 2020 Online/Kyoto 講演資料）
NTT DATA Technology & Innovation
•
3 years ago
20180729 Preferred Networksの機械学習クラスタを支える技術
Preferred Networks
•
5 years ago
Beyond EXPLAIN: Query Optimization From Theory To Code
Yuto Hayamizu
•
7 years ago
HTTP/2で 速くなるとき ならないとき
Kazuho Oku
•
6 years ago
Streaming SQL
Julian Hyde
•
7 years ago
Handle Large Messages In Apache Kafka
Jiangjie Qin
•
8 years ago
ストリーミングデータのアドホック分析エンジンの比較
Yoshiyasu SAEKI
•
7 years ago
20150513 legobease
Takeshi Yamamuro
•
8 years ago
Introduction to Modern Analytical DB
Takeshi Yamamuro
•
11 years ago
Open Source LinkedIn Analytics Pipeline - BOSS 2016 (VLDB)
Issac Buenrostro
•
7 years ago
Apache Gobblin: Bridging Batch and Streaming Data Integration. Big Data Meetup @ LinkedIn Apr 2017
Shirshanka Das
•
6 years ago
Apache Kuduは何がそんなに「速い」DBなのか? #dbts2017
Cloudera Japan
•
6 years ago
Linux女子部 systemd徹底入門
Etsuji Nakai
•
10 years ago
Hive: Loading Data
Benjamin Leonhardi
•
8 years ago
Presto in Treasure Data (presented at db tech showcase Sapporo 2015)
Mitsunori Komatsu
•
8 years ago
Presto As A Service - Treasure DataでのPresto運用事例
Taro L. Saito
•
9 years ago
NetflixにおけるPresto/Spark活用事例
Amazon Web Services Japan
•
8 years ago
Hive on Spark を活用した高速データ分析 - Hadoop / Spark Conference Japan 2016
Nagato Kasaki
•
8 years ago
Kuduを調べてみた #dogenzakalt
Toshihiro Suzuki
•
8 years ago
MariaDB+GaleraClusterの運用事例(MySQL勉強会2016-01-28)
Yuji Otani
•
8 years ago