From Multiple Data Centers to Multi-Cloud: A Hybrid Architecture Journey

In this session, you will see how companies can go from storing and analyzing its data within data centers to implementing an open source hybrid architecture that takes advantage of cloud's elasticity and new use cases. We will get a personal view of the challenges faced in safely moving data from on-premises data centers into multiple public clouds, safeguarding it through replication and then applying consistent security and governance policies across diverse environments to deliver trusted data and insights to the business.

Keynote Video


Srikanth Venkat
Senior Director, Product Management
Srikanth Venkat is currently responsible for Security & Governance portfolio of products at Hortonworks which include Apache Knox, Apache Ranger, Apache Atlas, Platform wide security and Hortonworks DataPlane Service. Prior to Hortonworks, Srikanth has held multiple roles in areas of cloud services, marketplaces, security, and business applications. His experience includes leadership across Product Management, Strategy and Operations, and Technical Architecture with broad experience in startups to global organizations including Telefonica,, Cisco-Webex, Proofpoint, Dataguise, Trilogy Software, and Hewlett-Packard. Srikanth holds a PhD in Engineering with a focus on Artificial Intelligence from University of Pittsburgh, and an MBA in General Management from Indiana University and a Masters in Global Management from Thunderbird School of Global Management. Srikanth is a Data Sciences & Machine Learning hobbyist and enjoys tinkering with Big Data technologies.
Ram Venkatesh
VP Engineering
I am the VP of Engineering for Hortonworks. I am a systems guy, deeply interested in all aspects of creating mission-critical enterprise software. Over the last 20 years, I have had the privilege to work with and learn from some of the brightest minds in the industry. Together we have shipped many products, from object persistence engines in Smalltalk and Java to RDBMS systems to RFID middleware to Real-Time Visibility and Control Systems. But that is in the past. The future has never been brighter for data-intensive systems. I am excited by the potential that customers see in the big data revolution, from being the transactional system of record to unlocking business insights. Technologies like Apache Spark, Apache Hadoop YARN, and Apache Tez take data-intensive computation and analysis to the next level – to paraphrase Stonebraker, in data models and in life what goes around comes around, the trick is to have fun along the way and make every journey count.