Personal Information
Organization / Workplace
Japan Japan
Occupation
Principal Consultant at Oracle Corporation Japan
Industry
Technology / Software / Internet
Website
http://d.hatena.ne.jp/yohei-a/
Tags
linux
parquet
performance
oracle database
awr
emr
orc
cloudtrail
aws
hdfs
presto
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iostat
exawatcher
exadata
oswatcher
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- Presentations
- Documents
- Infographics
Spark SQL - The internal -
NTT DATA OSS Professional Services
•
5 years ago
Advanced database monitoring in modern java
Chihiro Ito
•
3 years ago
アプリ開発者、DB 管理者視点での Cloud Spanner 活用方法 | 第 10 回 Google Cloud INSIDE Games & Apps Online
Google Cloud Platform - Japan
•
4 years ago
An Insider’s Guide to Maximizing Spark SQL Performance
Takuya UESHIN
•
5 years ago
Effective Data Lakes - ユースケースとデザインパターン
Noritaka Sekiyama
•
4 years ago
Modernizing Big Data Workload Using Amazon EMR & AWS Glue
Noritaka Sekiyama
•
4 years ago
[GKE & Spanner 勉強会] Cloud Spanner の技術概要
Google Cloud Platform - Japan
•
4 years ago
PostgreSQL監査
Ayumi Ishii
•
8 years ago
20190723 AWS Black Belt Online Seminar AWS CloudHSM
Amazon Web Services Japan
•
4 years ago
20191001 AWS Black Belt Online Seminar AWS Lake Formation
Amazon Web Services Japan
•
4 years ago
Koalas: Unifying Spark and pandas APIs
Takuya UESHIN
•
4 years ago
監査要件を有するシステムに対する PostgreSQL 導入の課題と可能性
Ohyama Masanori
•
6 years ago
Firebaseを利用するためにGCPとCloud IAMの 基本を理解しよう
kbigwheel
•
6 years ago
AWSクラウドデザインパターン(CDP) - 概要編 -
SORACOM, INC
•
12 years ago
Building your Datalake on AWS
Amazon Web Services
•
6 years ago
Effective Data Lakes: Challenges and Design Patterns (ANT316) - AWS re:Invent 2018
Amazon Web Services
•
5 years ago
Extending Analytics Beyond the Data Warehouse, ft. Warner Bros. Analytics (ANT301) - AWS re:Invent 2018
Amazon Web Services
•
5 years ago
Spark and S3 with Ryan Blue
Databricks
•
6 years ago
Building a Data Lake in Amazon S3 & Amazon Glacier (STG401-R1) - AWS re:Invent 2018
Amazon Web Services
•
5 years ago
Optimize data lakes with Amazon S3 - STG302 - Santa Clara AWS Summit
Amazon Web Services
•
5 years ago