Cisco and Red Hat collaborate on petabyte scale storage for OpenStack and Big Data

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Enterprises are dealing with workloads that demand anywhere from a few terabytes to multiple petabytes of unstructured data. Storage-intensive enterprise workloads are ubiquitous in the data center and range across workloads such as:

  • Archiving and backup, including backup images and online archives
  • Rich media content storage and delivery, such as videos, images, and audio files
  • Enterprise drop-box
  • Cloud and business applications, including log files, and RFID and other machine-generated data
  • Virtual and cloud infrastructure, such as virtual machine images as well as emerging workloads, such as co-resident applications

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Build your competitive edge in big data with Cisco and Red Hat

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Big Data has taken on many definitions over the last few years. Every software and hardware vendor in the industry is busy reinventing their solutions as the panacea to big data challenges. However, the reality is that no one vendor can claim to have all the pieces necessary to build an agile, scalable, and cost effective solution. Partnerships are the key. Red Hat has invested engineering and marketing resources to work with their Cisco counterparts to create world class big data solutions that can outperform the competition today and yet evolve with your business in the future.

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What is the most valuable asset of an organization? Hint: think Big Data.

 

Sometimes it pays to go back to the basics and ask the fundamental questions, such as, what, exactly, is Big Data?

In this latest Storage Tutorial, Brian Chang, Red Hat and Syed Rasheed, JBoss Middleware Solutions Marketing Manager, look at these basic questions. Some of which are easy to answer, such as our approach to Big Data, namely that databases, warehouses, as well as data from social media and mobile devices are a source for ongoing discovery and insight. And some of which are much trickier to answer, such as when did Small Data become Big Data?

Come listen to this friendly chat and get an easy introduction to Big Data and its invaluable place – and use – in any organization.

And the Cricket World Cup Champion is…

By Irshad Raihan, senior principal of product marketing for big data, Red Hat

Don’t sweat it if you’re initial reaction was “The Cricket World Cup is on?”

You’re not alone.

"CWC Aus v Eng at the MCG", Creative Commons Copyright Tourism Victoria.
“CWC Aus v Eng at the MCG” Creative Commons Copyright Tourism Victoria.

Yes, baseball’s poor cousin is throwing its once-in-four-years party, in the Australasian continent down under. Cricket may not be a popular sport in North America but get this: the game between arch rivals India & Pakistan last month was watched by a billion people worldwide!

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Storage Tutorial: Big Data Update, Part II 

Continuing the discussion, Brian Chang and Irshad Raihan of Red Hat discuss the challenges of Big Data in today’s marketplace. They examine the barriers to Big Data success and explore Red Hat’s five pillars to open the possibilities of Big Data. Namely that it should be open, agile, enterprise-ready, cloud-ready, and cost-effective. And you’ll hear how these pillars, in combination with Red Hat’s collaborations with leading vendors such as Intel, Cloudera, Hortonworks, Cisco, Dell, SAP, and Splunk, create a powerfully effective combination focused on delivering optimized, holistic, innovative customer solutions that can translate into tangible, long-term benefits.

 

Storage Tutorial: Big Data Update, Part I

Join Brian Chang and Irshad Raihan, both of Red Hat, as they discuss Big Data, from the challenges involved in the capture, manipulation, and use of Big Data – complicated by the multiple persons involved in Big Data, from Data Center Operators to App Developers, all of whom have their own needs and interests – to the lifecycle of Big Data and Red Hat’s commitment to building customer solutions that are open, agile, enterprise-ready, cloud-ready, and cost-effective. Hear how Red Hat not only proactively identifies immediate customer challenges, but also anticipates challenges customers have not yet recognized all with the goal of proactively delivering innovative customer solutions that open the possibilities of Big Data. And learn about the strategic partnerships that Red Hat has invested in to enable the most value to our joint customers.

Storage Tutorial: Understanding Splunk Data Flows

In today’s Storage Tutorial, Brian chats with Red Hat’s Paul Cuzner of the storage business unit. Paul has been focused on finding new ideas and strategies where Red Hat Storage can make a difference for customers and, most recently, has spent time working with Splunk. Watch the video below to find out just how Paul and Red Hat work with customers to make the most of Splunk and their storage, but we’ve broken down one salient bit for you right here…keep reading!

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As the NFL Superbowl XLIX nears, we see similarities between sports franchises and businesses

Superbowl XLIX is upon us and, sports fan or not, the excitement is contagious. But as neighbors, friends and family draw their battle lines (and fire up their grills…depending on what part of the USA they are in!) we here at Red Hat couldn’t help but turn our thoughts to something just as big, if not bigger, than this annual tournament of champions.

If you guessed we’re going to talk about big data then, congratulations, you get a cookie. We couldn’t help but see similarities between sports franchises and the enterprise, so we’re going to explore that thought a little more. Read on!

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Storage Tutorial: The Future of Big Data

Welcome to 2015 and the exciting world of storage and Big Data! Want to know what the new year holds for Big Data?

Check out this storage tutorial with Red Hat’s Brian Chang chatting with Greg Kleiman, (Director, Big Data, Red Hat) and Irshad Raihan (Big Data Product Marketing, also at Red Hat) who give their storage predictions for 2015.

In the video the group discusses the importance of enterprise data scientists and their role in helping enterprises succeed both in their current business model while also opening new business opportunities. They talk about how to capture, cultivate, and manage Big Data, especially the new challenge of doing so in real time. They look at monetizing data not only in data-based businesses but spreading into more traditional industries such as the car industry. And, last but not least, they discuss how to translate Big Data into a viable and easily accessible revenue stream.

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Can Big Data Swing Elections?

Big Data is everywhere. We were recently at the Strata Hadoop World conference and were blown away by some of the use cases in industries you wouldn’t normally categorize as being data driven. More and more leaders are seeking out data scientists to massage, splice, and contort data to spill out useful, actionable insights they can use as a competitive advantage.

In the last few years, with the access to bigger and richer data sets, we’ve moved from an era where data itself was a competitive advantage to the point where data analytics is the new battleground. What you can do with the data matters much more that how much data you have in the data center.

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What Can a Paper Shredder Teach Us About Big Data?

by Irshad Raihan, Red Hat Storage – Big Data Product Marketing

The trusty paper shredder in my home office died last week. I’m in the market for a new one. Years ago, when I purchased “Shreddy” (of course, it had a name) after a brief conversation with a random store clerk, choices were few and information scarce. In fact, paper shredders weren’t really considered standard personal office equipment as they are today. Most good shredders were built for offices not homes. Back in the market more than a decade later, it’s clear that the search for a new shredder is going to be trickier than I had imagined.

A paper shredder is a lot like big data.

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Linux, Gluster and the FRANKENSTEIN MONSTER!!!

I_Frankenstein_Poster(WARNING: Video contains graphic, horrific fight sequences, which contain violence and gore; parental guidance suggested)

What do open source software solutions like the Linux operating system and the Gluster distributed file system have in common w/ the Frankenstein Monster? Don’t know?!? Arrrgghhh!!!

Continue reading “Linux, Gluster and the FRANKENSTEIN MONSTER!!!”

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