We've updated our privacy policy. Click here to review the details. Tap here to review the details.
Activate your 30 day free trial to unlock unlimited reading.
Activate your 30 day free trial to continue reading.
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.
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.
You just clipped your first slide!
Clipping is a handy way to collect important slides you want to go back to later. Now customize the name of a clipboard to store your clips.The SlideShare family just got bigger. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd.
Cancel anytime.Unlimited Reading
Learn faster and smarter from top experts
Unlimited Downloading
Download to take your learnings offline and on the go
You also get free access to Scribd!
Instant access to millions of ebooks, audiobooks, magazines, podcasts and more.
Read and listen offline with any device.
Free access to premium services like Tuneln, Mubi and more.
We’ve updated our privacy policy so that we are compliant with changing global privacy regulations and to provide you with insight into the limited ways in which we use your data.
You can read the details below. By accepting, you agree to the updated privacy policy.
Thank you!