Accelerating Hadoop Projects with the Cask Data Application Platform

In this presentation, Nitin Motgi, co-founder and CTO of Cask Data, will share ideas and use-cases behind the designing and building of CDAP, its architecture, core concepts, and building blocks, and demonstrate the platform.

The Cask Data Application Platform (CDAP) (http://cdap.io) is an open source, integrated, distributed, and extensible platform for quickly building, deploying, and managing Hadoop solutions (such as ETL, IoT, analytics applications, and closed loop applications). Its built-in capabilities for data ingestion, building complex data access patterns on various storage systems and the mixing of different processing paradigms, lets developers and data scientists be productive building solutions in minutes. It supports high-level concepts and abstractions that hide infrastructure complexity and enable reusability. CDAP provides greater reliability and predictability to Hadoop solutions with testing frameworks and developer/devops tools.

Presenter:

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BIO: Nitin Motgi, Founder / CTO

Nitin Motgi is Founder and CTO of Cask, where he is responsible for developing the company’s long-term technology, driving company engineering initiatives and collaboration.
Prior to Cask, Nitin was at Yahoo! working on a large-scale content optimization system externally known as C.O.R.E.
Prior to Yahoo!, Nitin led the development of a large-scale fabrication analysis system at Altera, and he previously held senior engineering roles at FedEx. Nitin holds a Master’s degree in computer science from University of Central Florida (UCF).