Modern Data Architecture in Minutes - Deploy and Integrate Hadoop, Spark, MongoDB, and ElasticSearch with ObjectRocket by Rackspace

The database ecosystem has never been more vibrant. It’s now possible to build a powerful and flexible data platform that incorporates the best of MongoDB, Hadoop, Spark, and more. But it’s not easy. Whether in the cloud or on-prem, it takes time and expertise to design, size, deploy, scale, and integrate these powerful tools together. With ObjectRocket by Rackspace, it’s now possible to launch a modern data architecture in minutes. Want to run Map/Reduce on top of existing MongoDB Clusters? Want to enable simple and fast full-text search on Hadoop clusters? Now you can. During this session learn how you can rapidly deploy a modern data platform and watch a live demo that highlights how our easy-to-use control panels and API’s with simple bridges allow you to manage, integrate, and gain insights from your data environments in minutes.

Nirmal Ranganathan is a Senior Developer at Rackspace and currently works on the Cloud Big Data offering built on top of Openstack. Nirmal was one of the founding members of Trove (Openstack¹s Database as a Service) and has served as a core contributor of Cinder Block Storage Service and is a contributor to various Openstack initiatives. In addition, he is a contributor to Apache Cassandra, Thrift, Ambari and other Big Data ecosystem projects. Nirmal leads some of the development activities within the Datastores group at Rackspace and works on integrating various databases and big data technologies to solve customer use cases.