Big Data in the Enterprise
With the emergence of Hadoop, businesses are incorporating massive datasets that were previously unavailable to their analytical tools. In order to realize business value from big data, enterprises need to establish strong information governance. Data Integration is an essential prerequisite for successful data analysis. The capabilities of a Data Integration Platform include 1) bringing data to the processing environment, 2) transforming, cleansing, and augmenting it with data from external systems, and 3) loading it to other systems. The session will focus on our approach to executing data integration jobs using MapReduce, Hive, and the Informatica Data Engine processor.

To register, click here to confirm you’re attendance: http://informatica.avature.net/collegetalent 

Pritesh Maker Sr. Director, R&D at Informatica
Pritesh Maker has over a decade of experience in creating and managing enterprise software products in the data integration and management domain. Pritesh started his career at Informatica as an engineer and built its distributed data processing engine. Presently, Pritesh is responsible for the R&D of the Data Engine that powers several Informatica products including ETL for Data Warehousing and Data Services for Business Intelligence tools. Most recently, Pritesh has been leading the product development efforts for Informatica’s Big Data product. Pritesh has a BS in Computer Science from the University of Texas at Austin and an MBA from the Haas School of Business at the University of California, Berkeley.