Personal Information
Unternehmen/Arbeitsplatz
Japan, Tokyo Japan
Beruf
Solutions Architect at Amazon Web Services
Branche
Technology / Software / Internet
Webseite
about.me/hamburgerkid
Info
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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Präsentationen
(4)Gefällt mir
(175)ARM CPUにおけるSIMDを用いた高速計算入門
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Vor 2 Jahren
UNICORNの機械学習ワークロードにおけるSpot&AWS Batchの活用
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Vor 3 Jahren
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)
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Vor 4 Jahren
リペア時間短縮にむけた取り組み@Yahoo! JAPAN #casstudy
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Vor 6 Jahren
Parquetはカラムナなのか?
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Vor 4 Jahren
Best Practices for CI/CD with AWS Lambda and Amazon API Gateway (SRV355-R1) - AWS re:Invent 2018
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Vor 5 Jahren
20180729 Preferred Networksの機械学習クラスタを支える技術
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•
Vor 5 Jahren
The Columnar Era: Leveraging Parquet, Arrow and Kudu for High-Performance Analytics
DataWorks Summit/Hadoop Summit
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Vor 7 Jahren
ML Platform Q1 Meetup: Airbnb's End-to-End Machine Learning Infrastructure
Fei Chen
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Vor 6 Jahren
BuildKitによる高速でセキュアなイメージビルド
Akihiro Suda
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Principles of microservices velocity
Sam Newman
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今だから!Amazon CloudFront 徹底活用
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Best Practices for Integrating Active Directory with AWS Workloads
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IOT308-One Message to a Million Things Done in 60 seconds with AWS IoT
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DeNAの分析を支える分析基盤
Kenshin Yamada
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Deep Dive into AWS Fargate
Amazon Web Services
•
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HTTP/2で 速くなるとき ならないとき
Kazuho Oku
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HBase at LINE 2017
LINE Corporation
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NEW LAUNCH! Deep dive on Amazon Neptune - DAT318 - re:Invent 2017
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AWS Black Belt Online Seminar 2017 Amazon DynamoDB
Amazon Web Services Japan
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Vor 6 Jahren
Learning to Rank in Solr: Presented by Michael Nilsson & Diego Ceccarelli, Bloomberg LP
Lucidworks
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Vor 8 Jahren
Secured API Acceleration with Engineers from Amazon CloudFront and Slack
Amazon Web Services
•
Vor 7 Jahren
DB2をAWS上に構築する際のヒント&TIPS 2018年1月版
Akira Shimosako
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Vor 6 Jahren
Apache Kudu - Updatable Analytical Storage #rakutentech
Cloudera Japan
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ネットワーク ゲームにおけるTCPとUDPの使い分け
モノビット エンジン
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Vor 6 Jahren
形態素解析の過去・現在・未来
Preferred Networks
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Vor 12 Jahren
HBase Sizing Guide
larsgeorge
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Vor 9 Jahren
Paxos
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•
Vor 11 Jahren
SEC306 Using Microsoft Active Directory Across On-Premises and AWS Cloud Windows Workloads
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Vor 6 Jahren
分散システムについて語らせてくれ
Kumazaki Hiroki
•
Vor 6 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Japan, Tokyo Japan
Beruf
Solutions Architect at Amazon Web Services
Branche
Technology / Software / Internet
Webseite
about.me/hamburgerkid
Info
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
Mehr anzeigen