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Hadoop Effortlessly: A Data Inventory is Key to Data Self-service

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Hadoop Effortlessly: A Data Inventory is Key to Data Self-service

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Companies are deploying Hadoop “data lakes” to provide unprecedented access to data for data science and analytics. Despite the advantages of frictionless ingest and flexible schema on read, inability to consistently comprehend and govern the data turns into an increasingly insurmountable barrier to the enterprise adoption of Hadoop.

Join the panel of industry experts who will share their experiences on how to solve these challenges. Panelists will explain why and how to build a successful data inventory that enables true data self-service; discuss best practices for managing and governing Hadoop data; and suggest how to shape the right use cases to maximize the business ROI of Hadoop.

Meet the Speakers:

Alex Gorelik, Founder & CEO, Waterline Data Science

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As CEO and Founder of three startups, Alex created Waterline Data Science to invent cutting edge data-oriented technology and bring it to market. Prior to Waterline Data Science, Alex served as GM of Informatica’s Data Quality Business Unit, driving Marketing, Product Management and R&D for an $80M business. Also for Informatica, Alex managed a team of 400 engineers and product managers as SVP of R&D for Core Technology, developing Informatica’s platform and Data Integration technology. Alex holds a B.S. in Computer Science from Columbia University School of Engineering and a M.S. in Computer Science from Stanford University.

Suresh Srinivas, Founder & Architect, Hortonworks

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Suresh is an Apache Hadoop committer and member of the Apache Hadoop PMC. Suresh is an active contributor to the Apache HDFS project. Prior to co-founding Hortonworks, he served as a software architect at Yahoo! working on Apache Hadoop HDFS. Suresh also worked for Sylantro Systems in various technical leadership roles, developing scalable infrastructure for hosted communications services. He has a Bachelor’s degree in Electronics and Communication from the National Institute of Technology, Karnataka (India).

John Mount, Principal, Win-Vector

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John Mount (CV (https://www.linkedin.com/in/johnamount) ) started his advanced education in mathematics as U.C. Berkeley and holds a Ph.D. in computer science from Carnegie Mellon (specializing in the design and analysis of randomized algorithms). He has worked as a computational scientist in biotechnology, as a stock trading algorithm designer, and has managed a research team for Shopping.com (now an eBay company).

John is now a principal consultant at Win-Vector LLC (http://www.win-vector.com) a San Francisco data science consultancy. John is an author of Practical Data Science with R (http://www.amazon.com/Practical-Data-Science/dp/1617291560/) (Manning Publications, 2014 (http://www.manning.com/zumel/)).

Dimitris Nakos, Engineering Director at Google

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Svetlana Sicular, Research Director, Gartner (moderator)

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Svetlana Sicular has a uniquely combined experience of Fortune 500 IT and business leadership, product management at world-class software vendors, and Big Four consulting. She primarily handles inquiries in the areas of data governance, enterprise information management strategy and big data.

Introduction by:

Chris Selland, Vice President, Marketing & Business Development, HP Vertica, Hewlett-Packard Company

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Chris Selland is vice president of marketing & business development for HP Vertica. In this role, he leads global marketing & strategic alliances for the HP Vertica Analytics platform. Selland has more than 20 years of experience in online, search and inbound marketing programs, and in leading strategic alliance and corporate development initiatives for entrepreneurial, high-growth businesses.
Selland is an established thought leader, speaker and author on Big Data & Customer Analytics, Customer Relationship Management, and Inbound/Social Marketing.
He received a bachelor’s degree in operations research and industrial engineering from Cornell University and a master’s of business administration in international business and economics from the New York University Stern School of Business.

Agenda:

  • 6.00 - 6.45pm: Networking, registration, food & drinks
  • 6.45 - 7.00pm: Introductions
  • 7.00 - 7.20pm: Speakers' presentations
  • 7.20 - 8.10pm: Panel Discussion
  • 8.10 - 8.30 pm: Q&A session

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Once again, O'Reilly Media will be onsite with plenty of give-aways and a 20% discount for Strata Conference California 2015 (http://strataconf.com/strata2015?cmp=sp-strata-confreg-home-stca15_hive_meetup). Make sure to visit their booth!

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