Achieving Mega-Scale Business Intelligence Through Speed of Thought Analytics on Hadoop

August 11, 2016
SpringOne Platform 2016 Speaker: Ian Fyfe; Director, Product Marketing, Hortonworks Apache Hadoop is the most powerful and popular platform for ingesting, storing and processing enormous amounts of “big data”. However, due to its original roots as a batch processing system, doing interactive business analytics with Hadoop has historically suffered from slow response times, or forced business analysts to extract data summaries out of Hadoop into separate data marts. This talk will discuss the different options for implementing speed-of-thought business analytics and machine learning tools directly on top of Hadoop including Apache Hive on Tez, Apache Hive on LLAP, Apache HAWQ and Apache MADlib.
Previous
Large-Scale Enterprise Platform Transformation with Microservices, DevOps, and PaaS
Large-Scale Enterprise Platform Transformation with Microservices, DevOps, and PaaS

SpringOne Platform 2016 Speakers: Christopher Tretina; Director, Comcast & Vipul Savjani; Director of PaaS,...

Next Presentation
Big Fish, Little Fish, Cardboard Box: a Tale of Acquisition, Adjustment and Acceptance
Big Fish, Little Fish, Cardboard Box: a Tale of Acquisition, Adjustment and Acceptance

SpringOne Platform 2016 Speaker: Paula Kennedy; Director, Business Operations, Pivotal When your company i...