In this session, Ash Kulkarni will provide an overview of the data integration challenges that are stymieing big data projects. He will then discuss ways in which proven data integration practices can be married to the inherent flexibility of Hadoop to overcome these challenges. Ash will provide perspective on how traditional problems like code reuse, data transparency and lineage, and data quality need to be viewed with a slightly different slant when applied to the types of problems Hadoop is being used for today. He will discuss how having a plan to address these issues head-on will allow forward-looking organizations to use their big data strategically and to make Hadoop a part of their enterprise architecture. By sharing his perspective about this next major step towards the maturity of Hadoop, Ash will discuss why Hadoop is poised to change the face of analytics and data management.