Cloudera Developer Blog · General Posts
The following guest post, from Mike Pittaro of Dell’s Cloud Software Solutions team, describes his team’s use of the Dell Crowbar tool in conjunction with the Cloudera Manager API to automate cluster provisioning. Thanks, Mike!
Deploying, managing, and operating Apache Hadoop clusters can be complex at all levels of the stack, from the hardware on up. To hide this complexity and reduce deployment time, since 2011, Dell has been using Dell Crowbar in conjunction with Cloudera Manager to deploy the Dell | Cloudera Solution for Apache Hadoop for joint customers.
Cloudera Impala has made huge progress since its initial announcement – and there’s even more good news on the roadmap. To learn more, plan to attend an Impala meetup hosted by Cloudera in its San Francisco offices on the evening of Aug. 20:
Five years ago today, on June 27, 2008, we filed the incorporation paperwork for Cloudera, Inc., a new company we created to bring the power of Google’s big data platform to the masses.
Back then, nobody was talking about “big data” and the only people who knew about Apache Hadoop were wild-eyed engineers working in the consumer internet. Today, the software is right at the center of a major new market in technology. It’s used by hospitals, energy companies, retailers, banks and others.
In this installment of “Meet the Project Founder”, meet Apache Oozie PMC member (and ASF member) Alejandro Abdelnur, the Cloudera software engineer who founded what eventually became the Apache Oozie project in 2011. Alejandro is also on the PMC of Apache Hadoop.
What led you to your project idea(s)?
We announced a leadership change at Cloudera today. Tom Reilly, formerly CEO at Arcsight, is joining us in my old role – CEO – and I am assuming two new posts: Chief Strategy Officer and Chairman of the Board of Directors.
When we started the company five years ago, almost no one had heard of Apache Hadoop. Big Data, to the extent the term was used at all, was strictly a consumer internet phenomenon. No other enterprise vendor believed the platform mattered.
For those of you who missed the show, session video and presentation slides (as well as photos) will be available via hbasecon.com in a few weeks. (To be notified, follow @cloudera or @ClouderaEng.) Although it’s not quite as good as being there with the rest of the community, you’ll still be able to partake from the real-world experiences of Apache HBase users like Facebook, Box, Yahoo!, Salesforce.com, Pinterest, Twitter, Groupon, and more.
Today is a big day: Cloudera is not only urging our customers to “Unaccept the Status Quo” (the continued and accelerating spending on data warehousing, expensive data storage, and associated software licenses), but we also announced that Cloudera Search has entered public beta. Now anyone who knows how to do a Google search can query data stored in Cloudera’s Platform for Big Data.
In this post, however, I’d like to explain the new, simpler product naming/packaging structure that will make adopting and deploying Cloudera more straightforward.
Introducing Cloudera Standard
One of the unexpected pleasures of open source development is the way that technologies adapt and evolve for uses you never originally anticipated.
Seven years ago, Apache Hadoop sprang from a project based on Apache Lucene, aiming to solve a search problem: how to scalably store and index the internet. Today, it’s my pleasure to announce Cloudera Search, which uses Lucene (among other things) to make search solve a Hadoop problem: how to let non-technical users interactively explore and analyze data in Hadoop.
As we march toward HBaseCon 2013 (June 13 in San Francisco), it’s time to bring you a preview of the Internals track (see the Operations track preview here) — the track guaranteed to be of most interest to Apache HBase developers and other people tracking the progress of the code base.
I’m pleased to announce that CDH 4.3 is released and available for download. This is the third quarterly update to our GA shipping CDH 4 line and the 17th significant release of our 100% open source Apache Hadoop distribution.
CDH 4.3 is primarily focused on maintenance. There are more than 400 bug fixes included in this release across the components of the CDH stack. This represents a great step forward in quality, security, and performance.