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.
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.