Hadoop vs. Oracle vs. ArangoDB

The massive volume of discovery data that powers Pinterest and enables people to save Pins, create boards and follow other users, is generated through daily Hadoop jobs...

The MapReduce workflow starts to process experiment data nightly when data of the previous day is copied over from Kafka. At this time, all the raw log requests are transformed into meaningful experiment results and in-depth analysis. To populate experiment data for the dashboard, we have around 50 jobs running to do all the calculations and transforms of data.

in 2009 we open sourced mrjob, which allows any engineer to write a MapReduce job without contending for resources. We’re only limited by the amount of machines in an Amazon data center (which is an issue we’ve rarely encountered).

YARN for cluster management

Product recommendations

• Raw storage engine
• Replication
• Fault-tolerance

Our data lake

Datalake and bigdata analytics

TBD. Good to have I think. Analytics on loads of data, recommendations?

Importing/Exporting data, interpreting results. Possible integration with SAS

大大大大大

I'm expert database.

データベース構成設計や実際のデータ操作など。実作業では9i, 10g, 11gを触った。

Gerenciamento de banco de dados utilizados por odos os serviços/aplicações criados

Oracle을 통해 RDB를 학습하였습니다.

recommended solution at school, also used to try out alternatives to MySQL

Persist user actions and information in documents

사용자 팔로잉 관계 데이터 저장

Multi-model DB: document (JSON), graph, key-value

TO BE EVALUATED