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Introduction to Hbase

  • Mar 18, 2014 · 6:00 PM

PhillyDB is excited to welcome back Keys Botzum from MapR for an introduction to Hbase.  Hbase is an open source, non-relational, distributed database modeled after Google's BigTable.  Hbase runs on top of HDFS, providing BigTable-like capabilities for Hadoop.


Keys will begin with a basic overview of how HBase works and an introduction to the HBase APIs with a working example.  Once we've got that working, he will demonstrate new security features available to secure the HBase application when running on MapR's industry leading Hadoop distribution.


Keys Botzum is a Senior Principal Technologist with MapR Technologies. He has over 15 years of experience in large scale distributed system design. At MapR his primary responsibility is working with customers as a consultant, but he also teaches classes, contributes to documentation, and works with MapR engineering.  Previously he was a Senior Technical Staff Member with IBM and a respected author of many articles on WebSphere Application Server as well as a book. He holds a Masters degree in Computer Science from Stanford University and a B.S. in Applied Mathematics/Computer Science from Carnegie Mellon University.


We're also excited to note that we'll be meeting this month at SevOne's brand new Philly offices.

We will be in Suite 1100 (so 11th floor). People will need to come in through the main entrance (on Broad St), sign-in and take the elevators up to the 11th floor. From there, the take a left and follow the hallway all the way down to the second set of elevators. Our office is the big double-doors right across from that 2nd set of elevators.

Schedule:

6:00 - Doors open

6:30 - presentation starts

8:00 - Socializing at Nodding Head

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  • Dogar

    It was nice meeting you all.
    Keys: It was a nice presentation and I think MapR will be doing great in the near future as long as big names like Microsoft (Azure HD Insight), Hortonworks, Cloudera or Apache community by itself does not adopt MapR architecture style. I will be looking forward to more integrations with MapR. Thanks again for sharing your presentation and Amazon Link.

    March 23, 2014

  • Keys B.

    My slides are now posted via slideshare: http://www.slideshare.net/MapRTechnologies/philly-db-maprtablessecuritymar2014

    If anyone has any questions, please do not hesitate to ask in this forum or via direct email.

    March 19, 2014

  • Keys B.

    Some folks asked about a C API for MapR Tables. I'm excited to inform you that MapR has just released into open source a C API for HBase and MapR Tables. A major open source contribution: http://comments.gmane.org/gmane.comp.java.hadoop.hbase.devel/43119

    March 19, 2014

    • Alexander P.

      Yep, I found it this morning. Thanks, Keys!

      March 19, 2014

  • Keys B.

    Several folks asked if they could run MapR Tables on Amazon yesterday. As I indicated yesterday, you can run MapR on EC2 or on EMR. Here's the link on Amazon's site: http://aws.amazon.com/elasticmapreduce/mapr/

    March 19, 2014

  • Alejandro B.

    It was great to see everyone! I'm looking forward to the next meetup!

    March 19, 2014

  • Shan H.

    Database Tester

    March 18, 2014

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