For Cloudera, Apache HBase has grown into a stable, scalable, mature, and critical component of the Apache Hadoop stack.
HBase adds the ability to do low-latency random read/write across your big data. While it is a key piece of the Apache Hadoop ecosystem, HBase itself has an ecosystem of projects and products that use it as a storage engine for systems such as time series database (OpenTSDB), or SQL-style databases (Apache Phoenix,
The speaker lineup for the fifth annual edition of HBaseCon reflects an amazing diversity of production deployments.
The organizers of HBaseCon, the conference for the Apache HBase community, have published the agenda for the conference (May 24, 2016, in San Francisco)—and once again, the impressive geographical and use-case diversity of HBase are on full display.
- “State of Apache HBase” – Apache HBase PMC
- “Facebook’s Return to (Real) Open Source” –
HBaseCon 2016 will occur on May 24, 2016, at The Village in San Francisco.
HBaseCon is back, and CfP and Early Bird registration are both open for business.
Now in its fifth year, HBaseCon is the premier community event for Apache HBase contributors, developers, admins, and users of all skill levels. The event is hosted and organized by Cloudera, with a Program Committee reflecting a cross-section of the HBase community (including employees of Bloomberg LP,
The Wrangle conference was a huge hit. Look for it to return in 2016!
Wrangle, the conference for and by data science practitioners from startup to enterprise, made a noticeable splash in San Francisco last week. As the conference host and organizer, we (Cloudera) couldn’t be happier about its attendees’ happiness.
With presenter/panelist representation from the data science teams at Uber,
Apache Spark continues to be a major theme in the Strata + Hadoop World conference series; here are highlights at NYC next week.
Strata + Hadoop World NYC 2015 (Sept. 29-Oct. 1; if you haven’t registered yet, a 20% discount is still available) is a learning bonanza for many reasons, but this year the focus on Apache Spark and its growing importance in the Apache Hadoop ecosystem is notable.