Python + Hive on AWS EMR で貧者のログサマリ

1. Akira Chiku is an engineer who works on an engineering team. Their requirements include collecting between 10-20GB of data per day from various sources like Hadoop and Hive. 2. Data is collected from sources like Fluentd and parsed using Query String and stored in Hive. It is then processed and visualized. 3. Data can be stored in S3, processed using services like AWS EMR, and visualized in das

[moguno]

コーリ wrote: 4件のコメント http://t.co/reGXKlqJHa “Python + Hive on AWS EMR で貧者のログサマリ” http://t.co/yfjevdrlrh

[msykt]

勉強になる/“ImpalaとPrestoを比較し、S3にも直接クエリを投げれるPrestoを導入 した。(Impalaも次期バージョンではS3に直接クエリ投げれるらしい のでその時に再度検証予定)”

[been6]

“« ”

[kutakutatriangle]

体力さえ残っていれば参加したかったセッションの資料だ。