Apache Spark™ lives up to its tagline of ‘Lightning Fast Cluster Computing,’ according to Bright Computing’s Ian Lumb, who discussed this ‘hot’ cluster computing framework in our newly released vodcast. The vodcast, titled ‘The Rise in Popularity of Apache Spark,’ includes Ian’s take on the meteoric rise in popularity of Spark, comparisons between Spark and Hadoop, the importance of Spark’s excellent handling of converged analytics, and the exciting potential intersection of Spark and HPC. Take a listen to learn more about the unique solution that has ignited so much interest in the world of Big Data and beyond.Read More >
Spark'ing Scope Creep
I had the fortunate opportunity to present in the disruptive-technology track at the 2015 Rice Oil and Gas HPC Workshop during the first week of March. What I presented during my two-minute drill in this session ended up being much more disruptive than I anticipated.Read More >
This year marks the 10th anniversary of the creation of Hadoop. Over that decade, the open-source software platform has grown into the de facto standard of the big data marketplace. Part of this is due to the overall growth in spending on analytics, which research firm IDC recently said would reach $125 billion this year. But it also is due to the advantages that open-source Hadoop has over proprietary systems.
In December 2014, the online technology community Wikibon issued a report by lead big data analyst Jeff Kelly titled Hadoop-NoSQL Software and Services Market Forecast, 2013-2017. He highlights three problems with traditional database management systems:Read More >
The Summit features 6 tracks. By tapping the expertise of our Hadoop braintrust, we’ve submitted 4 ideas to 3 different tracks. Because we’d like to earn your votes, please allow us elaborate.Read More >
Last week we released support for Apache Hadoop 2.5.0. I thought it would be a good time to revisit all the updates we’ve made over the last 6 months - in case you missed them.
Our latest updates include:
- Apache Hadoop 2.5.1 Typo? Not exactly. We introduced support for Apache Hadoop 2.5.0 last week. Since Version 2.5.1 (released on September 13, 2014) is a minor release that builds upon the stable 2.4.1 release, you can now expect support via YUM updates to Bright. Note that vanilla Apache Hadoop includes HDFS (the Hadoop Distributed File System), ZooKeeper (the coordination service) as well as YARN (the workload manager).
- Cloudera CDH 5.1.0 We introduced support for CDH 5.1.0 in mid-July.
- Hortonworks HDP 2.1 We introduced support for Hortonworks Data Platform (HDP) 2.1 in mid-May.
Bottom line: Bright Cluster Manager maintains support for all major distributions of Apache Hadoop. Because we’re obsessed with keeping you current, you don’t have to be. We free you up to focus on the analysis of Big Data - and wasn’t that why you got interested in Hadoop in the first place?Read More >