Cask makes building and running big data solutions on-premises, in the cloud or in hybrid environments easy with Cask Data Application Platform (CDAP), the first unified integration platform for big data. CDAP reduces the time from prep to production for data lakes and data applications by 80%, empowering the business to make better decisions faster. CDAP is open source and accelerates time to value from Hadoop and Spark through standardized APIs, configurable templates and visual interfaces. With a radically simplified developer experience and a code-free self-service environment, CDAP enables enterprise IT to broaden the big data user base and seamlessly integrates with existing MDM, BI and security and governance solutions. As a standardization layer on top of big data platforms such as EMR, HDInsight, GCS, Cloudera, Hortonworks and MapR, CDAP provides the following essential capabilities: -Abstraction of data in a Hadoop/Spark environment through logical representations of underlying data; -Integration of components of the big data ecosystem into a single platform; -Portability of data lakes and data applications through decoupling underlying infrastructures; -APIs, services and self-service tools that enable faster application development and deployment; and -Higher degrees of operational control in production through enterprise best practices. Based in Palo Alto, CA, the company is backed by leading investors including Safeguard Scientifics, Battery Ventures, Ignition Partners and Andreessen Horowitz. Cask customers and partners include AT&T, AWS, Cloudera, Ericsson, Google, Hortonworks, IBM, MapR, Microsoft, Salesforce, Tableau, Thomson Reuters, and others. For more information, visit the Cask website at cask.co and follow @caskdata.