Big Data - Hadoop and Spark

Agenda

a) Spark

• 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.