November 6, 2017 It is no secret that traditional platforms for data analysis, like data warehouses, are difficult and expensive to scale, to meet the current data demands for storage and compute. And purpose-built platforms designed to process big data often require significant up-front and on-going investment if deployed on-premise…

October 24, 2017 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…

September 13, 2017 I am always puzzled that people think that “Big Data” is only about archiving massive amounts of data. The disruption in the market was not because companies could archive large amounts of data, but because the business value was realized by insights generated through analytics on the…

September 7, 2017 Data Engineering groups in large enterprises are typically decentralized. Teams develop specialized skill sets in particular areas of data processing, and have specific charters. For example, a team may be responsible for data acquisition. Another may be responsible for cleansing, transforming, normalizing and analyzing data. Another team…

August 30, 2017 We would like to thank all our users and customers for the great conversations we have had around use cases, the challenges you face with operationalizing a data lake and/or building data analytics solutions, and your candid feedback on CDAP usability. These interactions are invaluable and we…

August 23, 2017 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…

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 cloud or in a hybrid environment. …

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 flagship offering, but scale-limited to a single node instance. Developers can provision an…

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 user experience and usability of the product — CDAP 4.2 comes with several features that offer a great first five…