Shankar Selvam is a software engineer at Cask where he is building software to enable the next generation of data applications. Prior to Cask, he worked on Hadoop and HBase performance evaluation/analysis at Intel.
Data lakes comprise of unstructured, semi-structured and structured data. A common practice for a lot of companies is to bring in data from relational data stores so that various consumers can use it. In this blog post, we will describe how to easily and quickly build a data pipeline with Cask Hydrator. We will take … Read more
We are excited to announce the release of the Cask Data Application Platform (CDAP) v3.1.0. In this release we have added support for MapR, that provides users with more distro choice when using CDAP. Furthermore, this release expands our footprint to support CDH 5.4, HDP 2.2 and Apache Hadoop with Hbase 1.0 and Hive 1.1. … Read more