How do you store and retrieve massive amounts of structured data once you
exhaust the capacity of your conventional database? If you work at Google, you
use Bigtable, Google's distributed storage system, which stores data for
projects such as Google's web index, Google Earth, Google Finance.
If you don't work at Google, you now have the option of using HBase, an
Apache project and open-source implementation of Bigtable-like structured
storage. HBase is part of the Apache Hadoop project and runs on top of Hadoop's
distributed file system, HDFS.
How does HBase work and is it ready for you to run in your organization?
How easy is it to deploy? How do you contribute back to the community? Come hear
from core HBase contributors (Powerset) and recent adopters and contributors
(Rapleaf) as they describe the HBase system and how they're using it within
THIS EVENT IS EXCLUSIVELY FOR THE TECHNICAL/ENGINEERING COMMUNITY.
Here's the schedule:
6:45 - 7:00: Grab a drink and get seated
7:00 - 8:15: Presentations & Discussion
8:15 - 9:00: Mingling
Jim Kellerman, Senior Engineer, Powerset
Bryan Duxbury, Software Engineer, Rapleaf
There will be sandwiches, chips, etc. as well as soda and beer for everyone. That's right, there will be beer.
Have questions about HBase: Ready for Prime-time? ...Presented by Powerset and Rapleaf?