Cask Blog

A Data Quality Application Template for CDAP

Shilpa Subrahmanyam

One of Cask’s core goals is making a reasonably-experienced Java developer’s life much easier when building Hadoop applications. My summer project was aligned with the company’s effort to take this to the next level by lowering the barrier to entry for using Hadoop even further — Java proficiency not required. I spent my summer writing … Read more


A Look at Automating Cluster Creation in the Cloud with Coopr

David Bajot

Coopr is a cluster provisioning system designed to fully facilitate cluster lifecycle management in public and private clouds. In this blog, we will take an inside look at what happens when Coopr provisions a cluster. Deploying clusters can be time-consuming. For many system deployments, this work can be accomplished with a configuration management tool such … Read more


Multitenancy for Hadoop: Namespaces – Part II

Bhooshan Mogal

We introduced the concept of namespaces and how it helps to bring multitenancy to Apache Hadoop in a previous blog. We also briefly introduced the use of namespaces in CDAP,  leaving out the implementation details. In this blog we’ll discuss some of the requirements that influenced the design of namespaces in CDAP, as well as … Read more


Hadoop Components Versions in Distros Matrix

The Apache Hadoop ecosystem is always evolving, with the major distributions constantly upgrading their included core Hadoop components. This can present a challenge when building any application which runs on top of Hadoop. When developing our open-source application framework, CDAP, we strive to maintain compatibility with all major Hadoop distributions. Building on our previous reference … Read more


Weblog Analytics on Apache Hadoop™

Hadoop provides specialized tools and technologies that can be used for transporting and processing huge amounts of weblog data. In this blog, we’ll explore the end-to-end process of aggregating logs, processing them and generating analytics on Hadoop to gain insights about how users interact with your website. With the digitization of the world, generating knowledge … Read more


Multitenancy for Hadoop: Namespaces

Bhooshan Mogal

As a data processing platform, Hadoop‘s popularity today is often attributed to its cost-effectiveness, derived equally from the usage of commodity hardware and from the ability to co-locate work on shared compute and storage resources. Sharing resources allows organizations to maximize the throughput and utilization of a small number of large clusters instead of managing a large … Read more


Data-driven job scheduling in Hadoop

Julien Guery

Triggering the processing of data in Hadoop—as soon as enough new data is available—helps optimize many incremental data processing use-cases, but is not trivial to implement. The ability to schedule a job (such as MapReduce or Spark) to run as soon as there’s a certain amount of unprocessed data available—for instance, in a set of … Read more