CDAP Blog

Actions in Cask Hydrator

chrislu

This summer as an intern at Cask, I had the opportunity to work on Cask Hydrator. Since its launch in 2015, Cask Hydrator has been a broadly used and important application on CDAP to help users easily build and run big data pipelines. I helped evolve Hydrator further by adding the Action function to it. … Read more


Cask Tracker Enhanced: Metadata Taxonomy and Data Usage Analytics in CDAP 3.5

Yue Gao and Riwaz Poudyal

Cask Tracker is a self-service CDAP Extension that automatically captures rich metadata and provides users with visibility into how data is flowing into, out of, and within a Data Lake. Tracker was first introduced in CDAP v3.4. Tracker v0.2 has just been released along with CDAP 3.5 and packs a ton of new features. Dataset … Read more


CDAP 3.5 – Enterprise Security, Drag-and-Drop Spark Streaming, and much more!

Sagar Kapare

I am very excited to announce the release of Cask Data Application Platform (CDAP) version 3.5. The focus for CDAP 3.5 is security, with a number of significant new capabilities added to the platform, in addition to major improvements to the Extensions, Cask Hydrator and Cask Tracker. CDAP 3.5 introduces authorization to the platform with … Read more




Announcing CDAP Release 3.4: Introducing Tracker, Next-gen Hydrator, Enhanced Spark support, and much more!

Rohit Sinha

I am very happy to announce the general availability of our flagship product, the Cask Data Application Platform (CDAP), version 3.4. This release introduces a fresh new look for Cask Hydrator, and improvements to it that extend beyond data ingestion use cases, such as building aggregations and performing data science on the ingested data. The … Read more



Building Scalable Angular Apps Using Flux Architecture

Edwin Elia

Front-End Engineering has evolved significantly over the past couple of years. We have seen the rise and fall of JavaScript frameworks – and new frameworks are getting introduced every day. Among the contenders, Angular framework has become one of the most popular frameworks. With their $scope double-bind, you do not have to worry about syncing … Read more


A Hydrator Python Transform for Python nerds like you and me!

John Jackson

Before every CDAP release, we at Cask conduct an internal hackathon to use CDAP and work on interesting features. A few Cask engineers got together and, wanting to open up the capabilities of Cask Hydrator beyond Java developers, decided to build a transformation that uses user-written Python. Beginning with CDAP release 3.2, the CDAP UI … Read more