Cask Blog


Better collaboration and productivity: Cloud-based software development at Cask

Over the last few years, the popularity of cloud-based software development has risen dramatically, along with the need for sharing development assets and resources within and across organizations. Containers and open source have simplified the sharing and cloning of code and entire dev/test environments, taking efficiency, collaboration and productivity of product engineering organization to new … Read more



Meet the Cask Team at Strata Data Conference in New York, Sept 26-28, 2017

Tatiana Staffaroni

For many years Strata Data Conference has been attracting thousands of people interested in big data tools and technologies, and each year our team looks forward to meeting with our customers, partners and collaborators at this great event. Once again, Cask will be an Exabyte sponsor and we look forward to showcasing our latest technology … Read more


Overcoming Big Data Integration Challenges

Enterprise challenges Hadoop has emerged as the leading technology to solve a number of big data use cases. However, enterprises needing to solve their business problems often need to piece together different technologies to build a solution. Each component in the Hadoop technology stack is infrastructure focused and purpose-built to solve a unique set of … Read more


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