Python for Big Data Programming

March 28, 2017

Combining Hadoop and Spark in a Data Processing Pipeline

March 21, 2017

CDAP 4.2: Interactive Spark, enhanced self-service Data Preparation and more

June 7, 2017

I am very happy to announce the general availability of Cask Data Application Platform 4.2. Over the last few months, we have been focussing on enhancing the…

Announcing GA Release of CDAP 4.3 — Use Cases, Features and Capabilities

Introducing CDAP Cloud Sandbox for Microsoft Azure

July 18, 2017

Cask Data Application Platform (CDAP) is a platform-agnostic unified integration platform that allows users to run, manage and deploy big data applications independent of distros on-premises, in the…

Introducing the new CDAP Cloud Sandbox for AWS

June 29, 2017

Today, we are announcing the availability of CDAP Cloud Sandbox on AWS. The Cloud Sandbox gives CDAP users more choices to experience CDAP. Cloud Sandbox is a fully configured and functional version of Cask’s…

Actions in Cask Hydrator

October 13, 2016

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…

Monitoring Key Hadoop Operational Statistics using CDAP

January 25, 2017

CDAP 4 — Introducing Cask’s Big Data App Store, Cask Market, plus Cask Wrangler, a new UI and more

Overcoming Big Data Integration Challenges

August 23, 2017

Enterprise challenges

Hadoop has emerged as the leading technology to solve a number of big data use cases.

CDAP 4.1 — More Enterprise-Grade Hardening, Pre-Built Solutions and Enhanced UX