BIG data is an exciting field where processing huge amounts of data is a challenge. BIG data technologies enable quick processing of huge amounts of data, thereby enabling businesses to make better and quicker decisions.

For traditional data quality and governance enterprise systems, dealing in customer information management space, processing huge amounts of data is even more complex. This has led to organizations switching to the BIG data domain. This is a hands-on workshop around the data quality challenges in customer information management space for BIG data ecosystem:

• Doing advance data matching for Map-Reduce, Hive and Spark framework
• Doing data normalization for Map-Reduce, Hive and Spark framework
• Doing address validation for Map-Reduce, Hive and Spark framework

Prerequisite

• Carry your own laptop for the workshop
• Basic knowledge of HDFS and Hadoop framework
• Programming background (preferably Java or SQL)