While the vast majority of the Hadoop development discussion takes place on the Apache Jira and various project mailing lists, it’s often useful to meet face to face for high bandwidth discussion. To that end, Facebook hosted the first Apache Hadoop contributors meeting yesterday at their campus in Palo Alto. Cloudera, Facebook, Yahoo! and the Apache HBase team were well-represented.
nugg.ad operates Europe’s largest targeting platform. The company’s core business is to derive targeting recommendations from clicks and surveys. We measure these, store them in log files and later make sense of them all. In 2007 up until mid 2009 we used a classical data warehouse solution.
This summer I sent the following tweet, “Had lunch today at Twitter HQ. Thanks for the invite, @kevinweil! Great lunch conversation. Smart, friendly and fun team.” Kevin Weil leads the analytics team at Twitter and is an active member of the Hadoop community, and his colleague Eric Maland leads Operations. Needless to say, Twitter is doing amazing things with Hadoop. This guest blog from Kevin and Eric covers one of Twitter’s open-source projects which provides a solution for splittable LZO for Hadoop.
One of the more common requests we receive from the community is to package Apache HBase with Cloudera’s Distribution for Apache Hadoop. Lately, I’ve been doing a lot of work on making Cloudera’s packages easy to use, and recently, the HBase team has pitched in to help us deliver compatible HBase packages. We’re pretty excited about this, and we’re looking forward to your feedback. A big thanks to Andrew Purtell, a Senior Architect at TrendMicro and HBase Contributor,
It’s been a crazy few weeks here at Cloudera, and while there is no sign of things letting up before Hadoop World: NYC 2009 on October 2nd, we wanted to take a minute to share the latest details about the speakers, and to say thanks to our sponsors who have recently come on board.
We’re absolutely thrilled to have such a wide variety of organizations sharing their experiences with Apache Hadoop.