HBase

Data Lake ingestion best practices

Creating a Data Lake requires rigor and experience. Here are some good practices around data ingestion both for batch and stream architectures that we recommend and implement with our customers. […]

By | 2018-06-18T09:29:50+00:00 June 18th, 2018|Categories: Data Engineering, DevOps|Tags: , , , , , , , |0 Comments

Omid: Scalable and highly available transaction processing for Apache Phoenix

Apache Omid provides a transactional layer on top of key/value NoSQL databases. In practice, it is usually used on top of Apache HBase. […]

By | 2018-06-05T22:36:36+00:00 May 24th, 2018|Categories: Big Data, DataWorks Summit 2018, Events|Tags: , , , , , |1 Comment

Essential questions about Time Series

Today, the bulk of Big Data is temporal. We see it in the media and among our customers: smart meters, banking transactions, smart factories, connected vehicles … IoT and Big Data go hand in hand. […]

By | 2018-06-05T22:36:40+00:00 March 19th, 2018|Categories: Big Data, Data Engineering|Tags: , , , , , |0 Comments