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Data Governance with the Intel Distribution for Apache Hadoop version 3.0

Ritu Kama (Intel), Vin Sharma (Intel)
Sponsored Rhinelander Center
Average rating: ****.
(4.00, 3 ratings)

Hadoop is a powerful and extensible platform for big data storage and processing needs. But it’s novelty in the enterprise resurrects questions around data integration, data quality, data governance, and security that businesses with mature BI and analytics processes have long taken for granted. Join Ritu Kama and Vin Sharma, Hadoop product leads at Intel, to learn how the latest release of the Intel Distribution for Apache Hadoop brings together a number of security mechanisms – from role-based access control to fine-grained data auditing – to help enterprises ensure governance of their data lake.

This session is sponsored by Intel

Photo of Ritu Kama

Ritu Kama


Ritu Kama is the Director of Product Management for Big Data at Intel. She has over 15 years of experience in building software solutions for enterprises. She has led Engineering, QA and Solution Delivery organizations within Datacenter Software Division for Security and Identity products. Last year she led the Product and Program management responsibilities for Intel’s Distribution of Hadoop and Big Data solutions.
Prior to joining Intel, she led technical and architecture teams at IBM and Ascom. She has a MBA degree from University of Chicago and a Bachelor’s degree in Computer Science.

Photo of Vin Sharma

Vin Sharma


At Intel, Vin Sharma is responsible for strategic ecosystem initiatives driving adoption of open source solutions based on Intel datacenter technologies. In this role, Vin spearheads technical and marketing engagements with OEM and OSV partners working with open source projects such as Hadoop, OpenStack, KVM, and Linux. Before Intel, Vin worked at HP for 15 years, most recently as the business strategist for open source and Linux on HP servers. Vin has an academic background in history of technology and electrical engineering.


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