Personal Information
Entreprise/Lieu de travail
Japan Japan
Profession
Principal Consultant at Oracle Corporation Japan
Secteur d’activité
Technology / Software / Internet
Site Web
http://d.hatena.ne.jp/yohei-a/
Mots-clés
linux
parquet
performance
oracle database
awr
emr
orc
cloudtrail
aws
hdfs
presto
jpoug
iostat
exawatcher
exadata
oswatcher
db time
ash
excel
Tout plus
Présentations
(10)J’aime
(440)Spark SQL - The internal -
NTT DATA OSS Professional Services
•
il y a 5 ans
Advanced database monitoring in modern java
Chihiro Ito
•
il y a 3 ans
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
•
il y a 3 ans
An Insider’s Guide to Maximizing Spark SQL Performance
Takuya UESHIN
•
il y a 5 ans
Effective Data Lakes - ユースケースとデザインパターン
Noritaka Sekiyama
•
il y a 4 ans
Modernizing Big Data Workload Using Amazon EMR & AWS Glue
Noritaka Sekiyama
•
il y a 4 ans
[GKE & Spanner 勉強会] Cloud Spanner の技術概要
Google Cloud Platform - Japan
•
il y a 4 ans
PostgreSQL監査
Ayumi Ishii
•
il y a 8 ans
20190723 AWS Black Belt Online Seminar AWS CloudHSM
Amazon Web Services Japan
•
il y a 4 ans
20191001 AWS Black Belt Online Seminar AWS Lake Formation
Amazon Web Services Japan
•
il y a 4 ans
Koalas: Unifying Spark and pandas APIs
Takuya UESHIN
•
il y a 4 ans
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
•
il y a 6 ans
Firebaseを利用するためにGCPとCloud IAMの 基本を理解しよう
kbigwheel
•
il y a 6 ans
AWSクラウドデザインパターン(CDP) - 概要編 -
SORACOM, INC
•
il y a 12 ans
Building your Datalake on AWS
Amazon Web Services
•
il y a 6 ans
Effective Data Lakes: Challenges and Design Patterns (ANT316) - AWS re:Invent 2018
Amazon Web Services
•
il y a 5 ans
Extending Analytics Beyond the Data Warehouse, ft. Warner Bros. Analytics (ANT301) - AWS re:Invent 2018
Amazon Web Services
•
il y a 5 ans
Spark and S3 with Ryan Blue
Databricks
•
il y a 6 ans
Building a Data Lake in Amazon S3 & Amazon Glacier (STG401-R1) - AWS re:Invent 2018
Amazon Web Services
•
il y a 5 ans
Optimize data lakes with Amazon S3 - STG302 - Santa Clara AWS Summit
Amazon Web Services
•
il y a 5 ans
Best Practices for Building a Data Lake in Amazon S3 and Amazon Glacier, with Special Guests, Airbnb & Viber - STG312 - re:Invent 2017
Amazon Web Services
•
il y a 6 ans
ABD318_Architecting a data lake with Amazon S3, Amazon Kinesis, AWS Glue and Amazon Athena
Amazon Web Services
•
il y a 6 ans
Data Lake Implementation: Processing and Querying Data in Place (STG204-R1) - AWS re:Invent 2018
Amazon Web Services
•
il y a 5 ans
Data Lake,beyond the Data Warehouse
Data Science Thailand
•
il y a 8 ans
Beckman abadi-5min-pres
Daniel Abadi
•
il y a 10 ans
Amazon Aurora Storage Demystified: How It All Works (DAT363) - AWS re:Invent 2018
Amazon Web Services
•
il y a 5 ans
RET301-Build Single Customer View across Multiple Retail Channels using AWS S3 Data Lakes.pdf
Amazon Web Services
•
il y a 6 ans
Hadoop/Spark で Amazon S3 を徹底的に使いこなすワザ (Hadoop / Spark Conference Japan 2019)
Noritaka Sekiyama
•
il y a 5 ans
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
Noritaka Sekiyama
•
il y a 5 ans
AWS Black Belt Online Seminar 2017 Amazon ElastiCache
Amazon Web Services Japan
•
il y a 6 ans
Personal Information
Entreprise/Lieu de travail
Japan Japan
Profession
Principal Consultant at Oracle Corporation Japan
Secteur d’activité
Technology / Software / Internet
Site Web
http://d.hatena.ne.jp/yohei-a/
Mots-clés
linux
parquet
performance
oracle database
awr
emr
orc
cloudtrail
aws
hdfs
presto
jpoug
iostat
exawatcher
exadata
oswatcher
db time
ash
excel
Tout plus