Personal Information
Organization / Workplace
Japan, Tokyo Japan
Occupation
Solutions Architect at Amazon Web Services
Industry
Technology / Software / Internet
Website
about.me/hamburgerkid
About
Supporting customers to take advantage of AWS services more efficiently. It's challenging but really enjoyable.
In previous position, I had worked on keeping up site reliability of a part of big e-commerce service mainly, and also developed anything from front-end UI to back-end batch/stream system for running web services on demand.
And formally my main assignment was to expand and stabilize Hadoop and the related systems in that company.
In addition, I had worked as a web application developer and also as a service producer in a variety of web services like web advertisement, recommendation and so on.
And that, always interested in any challenging solution.
Tags
aws
ivs
ctonight
stream processing
spark
streaming
scalavility
hadoop
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- Presentations
- Documents
- Infographics
ARM CPUにおけるSIMDを用いた高速計算入門
Fixstars Corporation
•
2 years ago
UNICORNの機械学習ワークロードにおけるSpot&AWS Batchの活用
Inoue Seki
•
3 years ago
大規模データ活用向けストレージレイヤソフトのこれまでとこれから(NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05)
NTT DATA Technology & Innovation
•
4 years ago
リペア時間短縮にむけた取り組み@Yahoo! JAPAN #casstudy
Yahoo!デベロッパーネットワーク
•
6 years ago
Parquetはカラムナなのか?
Yohei Azekatsu
•
4 years ago
Best Practices for CI/CD with AWS Lambda and Amazon API Gateway (SRV355-R1) - AWS re:Invent 2018
Amazon Web Services
•
5 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
The Columnar Era: Leveraging Parquet, Arrow and Kudu for High-Performance Analytics
DataWorks Summit/Hadoop Summit
•
7 years ago
ML Platform Q1 Meetup: Airbnb's End-to-End Machine Learning Infrastructure
Fei Chen
•
6 years ago
BuildKitによる高速でセキュアなイメージビルド
Akihiro Suda
•
5 years ago
Principles of microservices velocity
Sam Newman
•
8 years ago
今だから!Amazon CloudFront 徹底活用
Yasuhiro Araki, Ph.D
•
7 years ago
Best Practices for Integrating Active Directory with AWS Workloads
Amazon Web Services
•
7 years ago
IOT308-One Message to a Million Things Done in 60 seconds with AWS IoT
Amazon Web Services
•
6 years ago
DeNAの分析を支える分析基盤
Kenshin Yamada
•
8 years ago
Deep Dive into AWS Fargate
Amazon Web Services
•
6 years ago
HTTP/2で 速くなるとき ならないとき
Kazuho Oku
•
6 years ago
HBase at LINE 2017
LINE Corporation
•
6 years ago
NEW LAUNCH! Deep dive on Amazon Neptune - DAT318 - re:Invent 2017
Amazon Web Services
•
6 years ago
AWS Black Belt Online Seminar 2017 Amazon DynamoDB
Amazon Web Services Japan
•
6 years ago