Before we say our final farewell to 2014, we want to take a moment to look back and invite you join us with a look at five memorable videos, all from TheCUBE at the Red Hat Summit 2014.
First up, Red Hat president and chief executive officer, Jim Whitehurst, discusses key industry topics ranging from open source technologies to big data, providing an overview of how Red Hat is leading the way through innovations designed to meet enterprise challenges.
In 1994, and, in fact, throughout the late 1990s and into the early 2000s, there was a pronounced shift as we saw the industry move away from proprietary hardware and software and toward industry-standard servers with Linux running on top. Today, we see the same shift in trends. Only, today, this shift centers around Big Data.
Come listen to the talk given by Ranga Rangachari, VP/GM Red Hat Storage at Strata + Hadoop World. Gain key observations on Big Data. Learn how the Red Hat product portfolio can help you capitalize on the full scope of your Big Data. And understand how Red Hat partners with the key vendors in the space to multiply your options, giving you the tools you need to benefit from your Big Data.
Q: Intro: Steve Watt Red Hat Chief Architect, Hadoop and Big Data
A: Background with HP and IBM. Always been on cutting edge. When I came to Red Hat I thought, “What does Red Hat have to do with Big Data, and why do they want me to join?” Now I know there’s a ton of big data stuff happening. Very cool projects.
by Irshad Raihan, Red Hat Big Data Product Manager
Machine data is by far the fastest growing component of Big Data and the Internet of Things. Everyday more and more devices are spewing out logs by the second that can be analyzed for patterns and anomalies. Machine data tends to be more credible and rich in insights when compared to human data (think social sentiment).
In the second part of our discussion with Sandeep Khaneja of Function1, we focus on specific vertical markets where he is seeing major opportunities for Big Data. Sandeep see’s significant progress in the area of energy management and energy consumption. As enterprise organizations look to save building facility costs such as lighting, cooling and heating, big data modules help to monitor and analyze massive data sets in a effort to conserve energy being consumed.
A scalable storage solution for Big Data is becoming more and more critical to IT. As enterprise companies experience larger data set growth, the need to mine the data becomes increasingly of greater importance. Is a hybrid cold storage solution really able to find a needle in an cavernous data haystack?
Tune in to this week’s Storage Hangout with our guest, Sandeep Khaneja, as he talks about the latest at Function1 and Splunk. Hear his take on the Splunk scalable hybrid storage use case customer scenarios for massive data sets. The interview is the first of two episodes with Sandeep.
by Irshad Raihan
About ten years ago Nick Carr wrote a famous article for the Harvard Business Review where he made a strong argument for why Information Technology (IT) doesn’t matter. The core of his hypothesis was that the commoditization of IT – just like with any mainstream technology across human history – made IT invisible in the long run, and therefore not matter from a strategic standpoint.
Catch up with Dave McAllister, Gluster Community Lead to find out the latest on the GlusterFS 3.4 and 3.5 releases and how it impacts the Gluster FS 3.6 release. Additionally, hear Dave talk about the GlusterFS future features including Bit Rot detection. And also hear his 2015 community plans and future releases.
Welcome to the final installment of our three-part series of Q&A’s resulting from the launching of Red Hat Storage Server 3. In this part, we’ll be looking at workloads.
What kind of growth in big data do you feel we will see over the next five years?
Please note: Red Hat Storage Server has a new name: Red Hat Gluster Storage. Learn more about it, and Red Hat Ceph Storage, here: http://red.ht/1Hw7gYb
Welcome to part two of our series on Q&A’s from the recent launch of Red Hat Storage Server 3 (RHSS3). Our first post in this series covered how RHSS3 compared to competitors. Now we’ll cover the product itself.
Can you help me understand the pricing mechanics for Storage Server 3 and if this has changed given the enhancements for more workloads and more hardware platform support?
In today’s Storage Hangout, Brian catches up with Erin Boyd, principle software engineer of Red Hat Big Data to learn about the Hadoop Plug-in Refresh Release. You can see the release information in detail here.
Q: Tell us more about the Hadoop Plug-in Refresh release. What can the big data community expect from this new release?