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Private and Open Data in Asia: A Regional Guide.
All of us involved in big data are working to decrease time to insights. We’re building clusters with Hadoop ecosystem components to help solve some of the data challenges, and there are clear benefits to this implementation. However, there are other use cases that might benefit from a more streamlined stack. At the same time, developers and data scientists need to reduce development time through collaboration and closed loop feedback practices.
In this talk, we will discuss how a streamlined Spark stack including Tachyon and Zeppelin can solve both the need for speed and reduced development time. We will walk thru a sample use case that utilizes 20 years of data to look for insights and create a predictive model from the dataset.
This session is sponsored by Rackspace
Nirmal Ranganathan is a Principal Engineer working on the Data Stores Platform at Rackspace. He constantly works with various teams within Rackspace and customers alike, directing them on how best to take advantage of Big Data technologies. Nirmal plays an active role in the local Austin tech scene by volunteering for organizing meetups and other events in the Austin area. Nirmal was one of the founding members of Trove (Openstack’s Database as a Service) and has contributed to various Openstack initiatives, Cassandra, Alluxio and Thrift.
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