Can Big Data Make You a Better Cyclist?

by Will Benton, Red Hat Senior Software Engineer

Last year’s Tour de France winner, Chris Froome, is a freak of nature. His endurance, performance and recovery are unmatched. However, given recent events in the sport, his consistent success over the past couple years was questioned by some. To keep the skeptics at bay, Froome’s team did something unprecedented – they released two years of Froome’s bio and performance data. The analysis not only exonerated Froome of any doping allegations, but also established that “exceptional aerobic potential” and “excellent recovery”, among other things, were factors behind his success.

Continue reading “Can Big Data Make You a Better Cyclist?”

Inktank Ceph Enterprise 1.2: A chat with Colleen Corrice

Please note: Inktank Ceph has a new name: Red Hat Ceph Storage. Learn more about it, and Red Hat Gluster Storage, here: http://red.ht/1Hw7gYb

We’re here today with Colleen Corrice, marketing communications director at Inktank, to talk about the much anticipated, recently released Inktank Ceph Enterprise 1.2.

Continue reading “Inktank Ceph Enterprise 1.2: A chat with Colleen Corrice”

Red Hat Storage Server + Splunk Enterprise

For any business, understanding and increasing operational efficiency is a major concern for management. In recent years, as connectivity and computing power have grown, the amount of machine-generated data companies must contend with has ballooned as well. Businesses are turning to robust software solutions to analyze this data, determine patterns, and make important decisions; these solutions require a storage platform that can handle enormous amounts of throughput and provide easy- to-scale capacity while remaining affordable.

We configured two IBM System x3650 M4 BD servers with Red Hat Storage Server 2.1, operating as a storage back end to a Splunk Enterprise infrastructure. We then ran SplunkIt 2.0 indexing and search workloads, which target Splunk hot/warm data buckets requiring fast I/O capabilities.

Continue reading “Red Hat Storage Server + Splunk Enterprise”

You Won’t Believe Where You’d Find Big Data at the Soccer World Cup

The vast range of possibilities and outcomes in sport makes it fertile ground for number crunchers. Analysts use sophisticated algorithms to factor in everything from temperature and humidity to the materials used in the manufacturing of tournament equipment in order to predict results.

Many of these factors are prone to volatility over the course of a sporting event, making real time analysis even more challenging. A case in point is the Goldman Sachs model built on regression analysis of all team results leading up to the tournament that had to be updated mid-tournament. They predict a 2-1 victory for Brazil over the Dutch in the finals (which of course we now know is impossible after Brazil’s stunning defeat against Germany in the semi-finals).

Continue reading “You Won’t Believe Where You’d Find Big Data at the Soccer World Cup”

Keeping the trains on time: Improved scalability, capacity, availability and zero downtime on 90% of critical systems for Metro de Madrid

madrid

One of the on-going challenges of IT is managing the never-ending demands for more and more data processing and information storage. One organization facing this challenge was the Metro de Madrid. Their IT infrastructure managed 45-50TB (terabytes) of information, divided into two main blocks: high-speed storage via fiber optic channels and storage across networks. Responsible for the administration and maintenance of operational computer systems of the Metro de Madrid, such as train traffic, energy management, audio systems, traveller information systems, and more, they required:

Continue reading “Keeping the trains on time: Improved scalability, capacity, availability and zero downtime on 90% of critical systems for Metro de Madrid”

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.

Continue reading “What Can a Paper Shredder Teach Us About Big Data?”

Introducing Ceph Calamari

Red Hat recently open sourced Calamari, the management platform for Ceph. As a part of rolling this valuable tool out to the community we’re taking some time to walk through the current functionality in an upcoming webinar on June 24thwww.inktank.com/webinars/?commid=115487 

Photo Credit: Flickr

Continue reading “Introducing Ceph Calamari”

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!!!”

The Data Life Cycle Has Changed. Are You Ready?

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

Digital data has been around for centuries in one form or the other. Commercial tabulating machines have been available since the late 1800’s when they were used for accounting, inventory and population census. Why then do we label today as the Big Data age? What dramatically changed in the last 10-15 years that has the entire IT industry chomping at the bit?

More data? Certainly. But that’s only the tip of the iceberg. There are two big drivers that have contributed to the classic V’s (Volume, Variety, Velocity) of Big Data. The first is the commoditization of computing hardware – servers, storage, sensors, cell phones – basically anything that runs on silicon. The second is the explosion in the number of data authors – both machines and humans.

Continue reading “The Data Life Cycle Has Changed. Are You Ready?”

Red Hat at 2014 Hadoop Summit this week (June 3-5)

The Big Data community is converging on San Jose, CA this week (June 3-5) for 2014 Hadoop Summit. If you plan to attend, please be sure to stop by the Red Hat booth (#G18) to learn more about Red Hat’s Big Data solution. More details are available here: http://www.redhat.com/about/news/archive/2014/6/red-hat-at-hadoop-summit-san-Jose-gaining-bigger-advantage-from-all-enterprise-data%5B/

And to sign up for 2014 Hadoop Summit, register here: http://hadoopsummit.org/san-jose/

See you at the conference!

Join Red Hat in the fight against multiple sclerosis

Imagine that, one day, you find your body unwilling to co-operate with your demands. You may lose the ability to walk, or to speak clearly. It is a gradual process that may be only mildly concerning because the symptoms come and go, sometimes for months. Then, one day, multiple sclerosis sets in and the damage is done. There is no cure.

bike

Continue reading “Join Red Hat in the fight against multiple sclerosis”