• What is the need for Spark technology?
• Architecture (Stand-alone AND Cloudera)
• Use case Discussion
b) Hadoop Map-Reduce VS Spark processing
c) Spark stream processing
d) Spark querying vs Impala
e) Demo of Cloudera Data Hub and Spark examples
Speaker: Shravan Pabba, Cloudera
Shravan (Sean) Pabba is a Systems Engineer at Cloudera. He works with Cloudera customers and prospects in helping them architect and build applications using Cloudera Hadoop Distribution. Before Cloudera Sean worked as a Solutions Architect at various companies including GigaSpaces and IBM, where he was involved in architecture, design and development of distributed and mainframe applications.