The 2015 Hadoop Summit is taking place this week, Wednesday and Thursday in Brussels, Belgium. Of course, Bright Computing will be at the Summit, highlighting our own solution for managing Hadoop clusters, as well as taking part in the conversations about the current state of Hadoop and what to expect for the future.
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Shape the program of the Hadoop Summit Europe 2015 with your votes. Is there a better way to demonstrate community? We think not!
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.
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Pop quiz: How many steps does it take to upgrade your Hadoop distribution?
Choose one answer:
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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:
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?
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Today’s data center managers have a lot on their plate. They’re responsible for more servers and storage than ever, and have to react quickly to frequent changes in demand for service. Administration and management solutions play a crucial role in helping sysadmins face these challenges.
Gartner refers to the four biggest trends that currently dominate the world of IT as The Nexus of Forces : mobile, social, cloud, and big data. Each of them holds out a great deal of promise for business owners. Mobile applications and social media provide companies with direct access to customers. Cloud services ensure that the business can always access its data and applications efficiently. Big data provides new insights into a company’s business processes and customer buying behavior. Companies that want to stay on the cutting edge of their industry would do well to immerse themselves in these technologies, and that means their data center must also be up to the task.
Recently, Bright Computing CTO Martijn de Vries presented a session entitled A Unified Management Solution for HPC and Hadoop at the ISC 2014 Conference in Leipzig, Germany.
His talk covered some of the many benefits that using an enterprise-grade cluster manager can bring to administrators of HPC and Hadoop clusters. From automated health checks to node provisioning at the push of a button, there’s a lot to gain by using the right tool for the job.
In case you missed the event, you can download the slides for Martijn's presentation HERE. We hope you find it helpful.
For those attending the International Supercomputing Conference (ISC'14) in Leipzig, Germany next week, don't miss Bright Computing CTO Martijn de Vries' presentation at the Exhibitor Forum.
Martijn will present a session entitled Bright Computing: A Unified Management Solution for HPC and Hadoop Clusters. His session is scheduled for Wednesday, June 25th, at 11:00 AM.
For those attending the Hadoop Summit in the Bay Area next week, don't miss Bright Computing Senior Systems Architect Robert Stober’s presentation at the Community Showcase Theater.
Robert will present a session entitled Why your Hadoop cluster needs a cluster manager. The session is scheduled for Tuesday, June 3rd, at 12:50 PM.
Last week we announced a new version of Bright Cluster Manager (version 7) and we're pleased to tell you that as of today, Bright Cluster Manager 7 is shipping!
Hadoop 2.0 is taking a giant step forward in its move to produce an open source project that is easier to use and more stable. A recent Tweet Report from the research firm IDC showed that many companies were cohabitating Hadoop with other solutions to enhance their data. The statistics showed that 32 percent already had deployed Hadoop, 31 percent intended to deploy Hadoop in the next 12 months, and 36 percent are saying that they are considering using a Hadoop deployment in more than a year.
