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April 21, 2016
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Announcing the First Annual PhoenixCon: The Apache Phoenix User Conference

Are you heading to HBaseCon this year on May 24? This year HBaseCon just had too much great content to fit it all into one day, and thanks to the kind sponsorship of Salesforce we’re happy to announce that PhoenixCon, the first ever Apache Phoenix user conference will be held on the next day, May 25th from 9:00 AM to 1:00 PM at Salesforce’s office @ The Landmark.

PhoenixCon is packed with useful content from a diverse group of both developers and end users. Just a few highlights I would personally point out:

  • Poorna from Cask will discuss ACID transactions in Phoenix, a major milestone that adds high-performance transactional capabilities to the Hadoop stack.
  • Maryann from Intel will discuss the ongoing Calcite / Phoenix integration, which will deliver a big boost to Phoenix’s SQL processing capabilities.
  • Masayasu Suzuki from Sony will give real-world performance tips for running Phoenix at scale.
  • Josh from Hortonworks will discuss Phoenix Query Server, and how it enables development of realtime Hadoop applications using Java, .NET, Python, ODBC and more.

This meetup is so packed with information that every session is a highlight. If you’re already making it to HBaseCon, why not spend the extra half day to see how Phoenix is taking realtime Hadoop applications to the next level? The meetup is free, thanks again to Salesforce’s sponsorship.

The full current schedule includes these talks. Note: Speakers and content are subject to change, check the Meetup page for the latest information.

Phoenix Internals Track

  • ACID Transactions in Phoenix (Poorna Chandra, Cask)
  • Phoenix Query Server (Josh Elser, Hortonworks)
  • Phoenix on Calcite (Maryann Xue, Intel)
  • Column Encoding Optimization (Samarth Jain, Salesforce)

Use Cases Track:

  • Five major tips to maximize performance on a 200+ SQL HBase/Phoenix cluster (Masayasu Suzuki, Sony)
  • Phoenix and eHarmony, a Perfect Match (Vijay Vangapandu, eHarmony)
  • Argus: Time series metric data through Phoenix (Tom Valine & Bhinav Sura, Salesforce.com)

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