SlideShare for iOS
by Linkedin Corporation
FREE - On the App Store
At the StampedeCon 2013 Big Data conference in St. Louis, Anant Jhingran, VP of Products at Apigee, discusses A New Data Architecture for the App Economy. It has been clear for quite some time that ...
At the StampedeCon 2013 Big Data conference in St. Louis, Anant Jhingran, VP of Products at Apigee, discusses A New Data Architecture for the App Economy. It has been clear for quite some time that traditional warehouses do not cut it for unstructured and semistructured data, and therefore new systems such as NoSQL and Hadoop have emerged. But these systems throw the baby out with the bathwater. Traditional warehouses were built on the premise that applications can be simpler because the databases did a lot. Of course, the penalty for this was that the application’s world view had to fit the relational, database world view. In the new Big Data system, the primitives have been lowered so much (simple key value pair, or completely unstructured tuple structure), that the applications now have to do a lot more. We argue that there is a happy medium. We have studied the kinds of data that sits in the app economy, and the data structures that need to be built on top of NoSQL and Hadoop that considerably speed up Insights in the app economy without requiring every problem to be coded from scratch.