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May 06, 2016
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San Jose Hadoop Summit 2016 — Thanks to our Track Chairs

We are busy preparing for Hadoop Summit San Jose, it is going to be an amazing event, but I wanted to pausethank-you_0and thank a special group of people that make Hadoop Summit the premier event to learn about the technologies and business drivers that are transforming big data. All sessions are by pragmatists and experts in their fields that have been vetted by the community. Part of the community vetting process is that these track chairs and their self-selected committees review each submission (over 700 this year) and decide what sessions get chosen. Finally the agenda is created and published. This is a long, painful, arduous, and sometimes thankless task, but I am here to say thanks!

Meet Our Track Chairs

Apache Committer Insights
Andy Feng – VP Architecture, Yahoo!
Andy Feng is a VP Architecture at Yahoo! leading the architecture and design of big data and machine learning initiatives. He architected major platforms for personalization, ads serving, NoSQL, and cloud infrastructure. Andy is a PPMC member, Committer of the Apache Storm project and a Contributor to the Apache Spark project. He has been a track chair for Hadoop Summit annually since 2013. Prior to Yahoo, Andy was a Chief Architect at AOL/Netscape, and Principal Scientist at Xerox.

Data Science, Analytics and Spark
Ram Sriharsha – Product Manager Spark, Databricks
Ram Sriharsha is the Product Manager of Spark at Databricks. Ram is an Apache Spark Committer and PMC Member.Prior to Databricks Ram was the Architect for Spark and Data Science at Hortonworks. He was Principal Research Scientist at Yahoo Research where he worked on large scale machine learning algorithms and systems related to login risk detection, sponsored search advertising and advertising effectiveness measurement.

Governance and Security
Seshu Adunuthula – Head of Analytics Infrastructure, eBay
Seasoned Software Professional specializing in Enterprise Software with a focus on Middleware and Business Intelligence. I am currently interested in finding innovative ways to adopt Business Analytics and Reporting to the Cloud with large unstructructer Data sets.


Cloud and Operations
Cindy Gross – Big Data AzureCAT, Microsoft
Microsoft AzureCAT Cindy Gross leads customers through Azure-based Big Data engagements. She helps customers solve business problems with E2E solutions that include distributed data processing, Hadoop, HDInsight, Spark, Azure Data Lake, & the Internet of Things on Azure. Cindy is a SQL Server Microsoft Certified Master who loves to share knowledge through presentations, technical articles & blogs.

Application Development
James Taylor – Architect, Salesforce
James Taylor is an architect at Salesforce in the Data Platform and Services Cloud. He leads the Apache Phoenix project, an OLTP database for Hadoop, and is a PMC member of Apache Calcite and the Apache Incubator. Prior to working at Salesforce, James worked at BEA Systems on projects such as federated query processing systems and event driven programming platforms and has worked at various other start-ups in the computer industry over the past 20 years.

Future of Apache Hadoop
Sanjay Radia – Founder and Architect, Hortonworks
Sanjay is founder and architect at Hortonworks. Sanjay is an Apache Hadoop committer and member of the Apache Hadoop PMC. Prior to co-founding Hortonworks, Sanjay was the chief architect of core-Hadoop at Yahoo and part of the team that created Hadoop. In Hadoop he has focused mostly on HDFS, MapReduce schedulers, high availability, compatibility, etc. He has also held senior engineering positions at Sun Microsystems and INRIA, where he developed software for distributed systems and grid/utility computing infrastructures. Sanjay has a PhD in Computer Science from the University of Waterloo in Canada.

Modern Data Applications
Jim Walker – Vice President of Marketing, EverString
Jim has nearly twenty years experience building products and developing emerging technologies. During his career, he has brought multiple products to market in a variety of fields, including data loss prevention, master data management (MDM), Hadoop and now Predictive Analytics. Jim specializes in open source business models and is focused on accelerating the development and adoption of Predictive Analytics to augment the Sales & Marketing functions.

IoT and Streaming
Gearóid O’Brien – Distinguished Engineer, Neustar
Gearóid O’Brien is a Distinguished Engineer at Neustar, a trusted, neutral provider of real-time information services. Based in San Francisco, Gearóid was the founding data scientist at, a company that delivered insight from proximity triggered customer engagement. was acquired by Neustar in 2015, and he now leads Data Analytics at Neustar for the “Internet of Things” team. He holds a PhD in Electrical Engineering from Stanford University, focused on demand side management of energy consumption using tools from data mining, machine learning, and statistics.

Thanks to each and everyone of you. Looking forward to seeing you at Hadoop Summit San Jose 2016.



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