Personal Information
Organização/Local de trabalho
Japan Japan
Cargo
Principal Consultant at Oracle Corporation Japan
Setor
Technology / Software / Internet
Marcadores
linux
parquet
performance
oracle database
awr
emr
orc
cloudtrail
aws
hdfs
presto
jpoug
iostat
exawatcher
exadata
oswatcher
db time
ash
excel
Ver mais
- Apresentações
- Documentos
- Infográficos
Spark SQL - The internal -
NTT DATA OSS Professional Services
•
Há 5 anos
Advanced database monitoring in modern java
Chihiro Ito
•
Há 3 anos
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
•
Há 4 anos
An Insider’s Guide to Maximizing Spark SQL Performance
Takuya UESHIN
•
Há 5 anos
Effective Data Lakes - ユースケースとデザインパターン
Noritaka Sekiyama
•
Há 4 anos
Modernizing Big Data Workload Using Amazon EMR & AWS Glue
Noritaka Sekiyama
•
Há 4 anos
[GKE & Spanner 勉強会] Cloud Spanner の技術概要
Google Cloud Platform - Japan
•
Há 4 anos
PostgreSQL監査
Ayumi Ishii
•
Há 8 anos
20190723 AWS Black Belt Online Seminar AWS CloudHSM
Amazon Web Services Japan
•
Há 4 anos
20191001 AWS Black Belt Online Seminar AWS Lake Formation
Amazon Web Services Japan
•
Há 4 anos
Koalas: Unifying Spark and pandas APIs
Takuya UESHIN
•
Há 4 anos
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
•
Há 6 anos
Firebaseを利用するためにGCPとCloud IAMの 基本を理解しよう
kbigwheel
•
Há 6 anos
AWSクラウドデザインパターン(CDP) - 概要編 -
SORACOM, INC
•
Há 12 anos
Building your Datalake on AWS
Amazon Web Services
•
Há 6 anos
Effective Data Lakes: Challenges and Design Patterns (ANT316) - AWS re:Invent 2018
Amazon Web Services
•
Há 5 anos
Extending Analytics Beyond the Data Warehouse, ft. Warner Bros. Analytics (ANT301) - AWS re:Invent 2018
Amazon Web Services
•
Há 5 anos
Spark and S3 with Ryan Blue
Databricks
•
Há 6 anos
Building a Data Lake in Amazon S3 & Amazon Glacier (STG401-R1) - AWS re:Invent 2018
Amazon Web Services
•
Há 5 anos
Optimize data lakes with Amazon S3 - STG302 - Santa Clara AWS Summit
Amazon Web Services
•
Há 5 anos