Personal Information
Entreprise/Lieu de travail
Within 23 wards, Tokyo, Japan Japan
Profession
Data Engineer at Fast Retailing
Secteur d’activité
Retail
Site Web
http://legobokueng.blogspot.com/
À propos
10 years experience of software development including data engineering, full stack IoT software development.
・C/C++ embedded software development, MQTT/Websocket message broker and application development using Java/Scala on a cloud platform such as AWS (Lamda, Kinesis, S3, RDS).
・Development of MQTT / Websocket client API (Java / JavaScript)
・Provisioning and Deployment on both of on-premises and AWS using Docker
Web application development (Java/JavaScript) and QA at US based software company (1 year).
Completed Stanford University’s machine learning course on Coursera.
Proficient in ensuring software quality with test driven development from the beginning of a project.
Develop custom t...
Mots-clés
pycon
airflow
aws
agile tdd
gcp
pyconsg2019
pyconapac2019
pyconapac
python
cloud
cloud computing
devops
docker
container
api sf tech mobile car vehicle hackathon
tdd embedded
etrobo
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Présentations
(10)J’aime
(211)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
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il y a 3 ans
Navigating the COVID-19 Crisis V2 - April 20
Boston Consulting Group
•
il y a 4 ans
Boston ML - Architecting Recommender Systems
James Kirk
•
il y a 5 ans
Using MLOps to Bring ML to Production/The Promise of MLOps
Weaveworks
•
il y a 4 ans
オニギリペイのセキュリティ事故に学ぶ安全なサービスの構築法 (PHPカンファレンス2019)
Hiroshi Tokumaru
•
il y a 4 ans
パターン認識と機械学習入門
Momoko Hayamizu
•
il y a 11 ans
20190819 AWS におけるモニタリング 議論のための観点総ざらえ
Amazon Web Services Japan
•
il y a 4 ans
[Cloud OnAir] BigQuery ML と AutoML Tables で はじめるマーケティング分析入門 2019年5月23日 放送
Google Cloud Platform - Japan
•
il y a 4 ans
Metadata Strategies - Data Squared
DATAVERSITY
•
il y a 6 ans
Producer Performance Tuning for Apache Kafka
Jiangjie Qin
•
il y a 7 ans
最近のKaggleに学ぶテーブルデータの特徴量エンジニアリング
mlm_kansai
•
il y a 5 ans
Kubeflowで何ができて何ができないのか #DEvFest18
Shunya Ueta
•
il y a 5 ans
KubeFlowでどこまでいける?
Yuji Oshima
•
il y a 5 ans
BigQueryの課金、節約しませんか
Ryuji Tamagawa
•
il y a 8 ans
決済システムの内製化への旅 - SpringとPCFで作るクラウドネイティブなシステム開発 #jsug #sf_h1
Toshiaki Maki
•
il y a 5 ans
AWS Black Belt Online Seminar 2017 Amazon DynamoDB
Amazon Web Services Japan
•
il y a 6 ans
20180729 Preferred Networksの機械学習クラスタを支える技術
Preferred Networks
•
il y a 5 ans
分散システムの限界について知ろう
Shingo Omura
•
il y a 5 ans
Google Cloud ベストプラクティス:Google BigQuery 編 - 03 : パフォーマンスとコストの最適化
Google Cloud Platform - Japan
•
il y a 6 ans
Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -
Yoshiyasu SAEKI
•
il y a 7 ans
Akkaで分散システム入門
Shingo Omura
•
il y a 6 ans
Luigi PyData presentation
Elias Freider
•
il y a 11 ans
Solving anything in VCL
Fastly
•
il y a 7 ans
本当は恐ろしい分散システムの話
Kumazaki Hiroki
•
il y a 6 ans
ゼロから始めるSparkSQL徹底活用!
Nagato Kasaki
•
il y a 7 ans
High Performance Python on Apache Spark
Wes McKinney
•
il y a 7 ans
Scala警察のすすめ
takezoe
•
il y a 6 ans
ITPro Expo IoT Japan 2017 特別講演 | IoT通信が拓く新大陸
SORACOM,INC
•
il y a 6 ans
AWS re:Invent 2016: How to Automate Policy Validation (SEC311)
Amazon Web Services
•
il y a 7 ans
Kafka含むデータ処理フローを NiFiで構築するさまを実演する5分間
Koji Kawamura
•
il y a 7 ans
Personal Information
Entreprise/Lieu de travail
Within 23 wards, Tokyo, Japan Japan
Profession
Data Engineer at Fast Retailing
Secteur d’activité
Retail
Site Web
http://legobokueng.blogspot.com/
À propos
10 years experience of software development including data engineering, full stack IoT software development.
・C/C++ embedded software development, MQTT/Websocket message broker and application development using Java/Scala on a cloud platform such as AWS (Lamda, Kinesis, S3, RDS).
・Development of MQTT / Websocket client API (Java / JavaScript)
・Provisioning and Deployment on both of on-premises and AWS using Docker
Web application development (Java/JavaScript) and QA at US based software company (1 year).
Completed Stanford University’s machine learning course on Coursera.
Proficient in ensuring software quality with test driven development from the beginning of a project.
Develop custom t...
Mots-clés
pycon
airflow
aws
agile tdd
gcp
pyconsg2019
pyconapac2019
pyconapac
python
cloud
cloud computing
devops
docker
container
api sf tech mobile car vehicle hackathon
tdd embedded
etrobo
historylifehistorybookeducation
Tout plus