Cask Blog

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

Nishith Nand

We are happy to announce the release of Cask Data Application Platform (CDAP) version 4.1. This new release brings with it some major enhancements and significant new capabilities in the platform, as well as new, ready-to-use solutions offered via Cask Market. CDAP 4.1 improves security by allowing fine grained secure impersonation. It introduces replication so … Read more



Monitoring Key Hadoop Operational Statistics using CDAP

Bhooshan Mogal

The Cask Data Application Platform (CDAP) is the first Unified Integration Platform for Big Data. It provides users with higher level abstractions and APIs over complex, low-level systems for building  Big Data applications. It does the heavy lifting involved in integrating various platforms in the Apache Hadoop ecosystem, to provide a single end-to-end platform. To … 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


Pachyderm and TubeMogul Share Their Big Data Application Platforms and Experience

Russ Savage

It was so great to see everyone at the Big Data Applications Meetup last week! The meetup was sponsored by Cask, the company making big data applications easy, and by Ampool, and we would like to thank Milind Bhandarkar, the Founder and CEO of Ampool, for supporting this event. For those that couldn’t join us, we … Read more




Fluentd & Docker, Turbocharging CDAP Apps, and Building a Data Science Platform — all of this next week!

After two very successful Big Data Apps meetups, Cask will be hosting the third Big Data Application meetup on October 14, 2015 at Cask HQ in Palo Alto. This meetup includes an exciting lineup of talks: The first talk will be about Integrating Fluentd and Docker. John Hammink from Treasure Data will introduce us to … Read more


Learning CDAP with Elasticsearch

Ashley Taylor

Elasticsearch is a popular search engine based on Apache Lucene™. Unlike relational databases, Elasticsearch stores information in documents; each document has a type (with a mapping) that gives information about its schema, and similar documents are stored together in an index. Elasticsearch even allows time-based indices, so documents can be stored with other records created … Read more


Join us for the 2nd Big Data Application Meetup

Henry Saputra

Cask is proud to host the second Big Data Application Meetup on August 19, 2015 at Cask HQ in Palo Alto. By sponsoring and promoting knowledge-sharing and community-building through the Big Data Application Meetup, Cask continues to take lead in promoting technologies and best practices used to build big data applications. For the second meetup, we have … Read more