Currently Being Moderated

Does Hadoop need a veteran technology presence, like SQL, to "make it" in the enterprise? Darned if I know. But the folks on our upcoming panel just might. As part of NetApp's partnership with HiveData we are very proud to host another meetup on NetApp campus, August 7th at 6pm. This meetup will focus on the Hadoop & SQL history, opportunity, positioning and landscape. All details below and link to registration here. This will sell out, don't wait to register.

 

Also, HiveData's media partner, O'Reilly Strata will be giving away books and a ticket for the NY Strata Conference! Make sure to bring your business cards for the raffle. If you don't win the raffle, you can save 20% for the conference with the discount code HIVE.

 

Ping me on Twitter @thebillp with any questions.

 

 

Hadoop & SQL

 

  •    Wednesday, August 7, 2013

    6:00 PM to 9:00 PM 

  • NetApp, Building 3

    439 E. Java Drive, Sunnyvale, CA  (map)

     

    Hadoop's usefulness was extended beyond programming in the MapReduce paradigm early on with initiatives such as Hive and Pig. These tools have enabled a much larger and varied set of practitioners on the Hadoop stack, many of whom are demanding SQL as the language of choice. Within enterprises, SQL is a prerequisite for integration with enterprise frameworks, but even in internet companies, where Hadoop first made its mark, most MapReduce jobs are generated by translation from Hive or Pig. This same force is pushing SQL to be more interactive, real-time, and act more and more like a traditional RDBMS.

     

     

    The first generation of SQL implementations on Hadoop relied on translating SQL queries into MapReduce. However, it is now recognized that this approach is not adequate for achieving good performance, especially as we try to address demands for interactive and real-time queries. A number of vendors are in the fray, and are making different tradeoffs. What does the emerging SQL-on-Hadoop landscape look like? How will it be positioned relative to traditional SQL and BI tools?


    Meet the experts


    Justin Erickson, Director of Product Management, Cloudera

    Justin Erickson is the director of product management at Cloudera for Hadoop storage (HDFS and HBase), query (Cloudera Impala and Hive), and performance. Prior to Cloudera he worked at Microsoft where he lead the development of the new high availability and disaster recovery solution for Microsoft SQL Server 2012. Justin is a graduate of Stanford University where he earned a B.S. with honors in Computer Science.


    Tomer Shiran, Vice President of Product Management, MapR

    Tomer Shiran heads the product management team at MapR and is PMC member and committer for the open source Apache Drill project. Tomer Shiran heads the product management team at MapR and is responsible for product strategy, roadmap and requirements. Prior to MapR, Tomer held numerous product management and engineering roles at Microsoft, most recently as the product manager for Microsoft Internet Security & Acceleration Server (now Microsoft Forefront). He is the founder of two websites that have served tens of millions of users, and received coverage in prestigious publications such as The New York Times, USA Today and The Times of London. Tomer is also the author of a 900-page programming book. He holds an MS in Computer Engineering from Carnegie Mellon University and a BS in Computer Science from Technion - Israel Institute of Technology.

     

    Alan Gates, co-founder, Hortonworks

    Alan is a co-founder of Hortonworks and an original member of the engineering team that took Pig from a Yahoo! Labs research project to a successful Apache open source project. Alan also designed HCatalog and guided its adoption as an Apache Incubator project. Alan has a BS in Mathematics from Oregon State University and a MA in Theology from Fuller Theological Seminary. He is also the author of Programming Pig, a book from O’Reilly Press.

     

    Gavin Sherry, Director of Engineering, Pivotal

    Gavin Sherry is Chief Strategist, Pivotal Data Fabric. In this role, he leads technology roadmap, architecture and R&D for Pivotal's data processing technologies, including HAWQ, Pivotal's industry leading SQL engine for Hadoop. Before Pivotal, Gavin has contributed significantly to the state of the art of database technology and to open source projects such as PostgreSQL.

     

    Priyank Patel, Director,Product Management, Teradata Aster

    Priyank Patel is Director, Product Management at Teradata Aster. In this role, he is responsible for Product Management of Teradata’s Hadoop Portfolio of products.  Priyank joined Aster as its 3rd employee working on building out the core product in the Engineering team. Since then he has held various roles in Engineering Management, Field Engineering and is currently responsible for Product Management of Aster’s SQL-MapReduce framework and Analytical Libraries built on it. Before joining Aster, Priyank held engineering roles at Microsoft Corporation where he worked on the Windows OS. Priyank holds a Master Degree in Computer Science from Stanford University and a Bachelors in Computer Engineering from Gujarat University.

     

    Raghu Ramakrishnan, CTO of Information Services, Microsoft (moderator)

    Raghu Ramakrishnan is a Technical Fellow in the Server and Tools Business (STB) at Microsoft Corp. He focuses his work on big data and integration between STB’s cloud offerings and the Online Services Division’s platform assets. He has more than 15 years of experience in the fields of database systems, data mining, search and cloud computing.

     

    Agenda

    6:00-7:00pm: Registration and pre-party (with food & beverages)
      7:00-7:10pm: Introduction
      7:10-8:10pm: Panel discussion
      8:10-8:30pm: Q&A session
      8:30-9:00pm: Networking session

    Cannot attend in person? Join the on-line event here.
     

    Our media partner, O'Reilly Strata will be giving away books and a ticket for the NY Strata Conference! Make sure to bring your business cards for the raffle. If you don't win the raffle, you can save 20% for the conference with the discount code HIVE.

     

     

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