Big Data Advantage, part 3: “The Dude Abides.”

In my prior two posts about analytics, I highlighted the vast opportunity available in big data and the obstacles that prevent organizations from attaining tangible benefits: Complexity across fronts An onslaught of analytics tools The difficulty retaining the right skillsets Slowdowns in getting to insights and decisions But these hurdles can be overcome. For innovative businesses grappling with the realities of big data, an agile analytics environment provides the best of all approaches. Such a platform enables you to seize your big data advantage with a potent combination of system agility and the pervasive speed needed to deliver high-frequency insights. To address this need, Cray has fused supercomputing technology ... [ Read More ]

Making Sense of 50 Billion Triples: No Free Lunch

A lot of grandiose claims have been made promising that graph databases would allow easy ingest of all manner of disparate data and make sense of it ­– and uncover hidden relationships and meaning. This is, in fact, possible — but there are a few considerations that you need to account for to make your database useful to an analyst charged with making sense of the information. There simply is no free lunch; where time and effort are saved in one place, they must be expended (at least partially) elsewhere. Let’s take a look at the fundamental difference between graph databases and relational databases from which these claims stem: Rather than store data in rows and columns, graph databases store data in a simpler format that describes a ... [ Read More ]

Big Data Advantage, part 2: “This is a very complicated case . . . You know, a lotta ins, a lotta outs, lotta what-have-yous.”

In my last post on big data advantages, I wrote about the potential impact of big data and the types of things companies are looking to get out of their information. However, only four percent of companies extract the full value of their information assets, while 43 percent “obtain little tangible benefit from their information," according to PwC and Iron Mountain in their report “Seizing the information advantage.” Four percent — ouch! You see, although the internet of things and big data analytics have paved the way to previously unimaginable possibilities, they have also opened a Pandora’s box of complexity. And that leads me to another famous quote from “The Big Lebowski.” “This is a very complicated case . . . You know, a lotta ins, ... [ Read More ]

Cray recognized by Forrester and Gartner

Cray is fortunate to have earned the recognition and loyalty of customers worldwide. We’re also honored to receive industry recognition, as is the case with two recent reports from industry analyst firms Forrester and Gartner, the top research and advisory firms providing IT-related insights. Forrester notes Cray’s commitment to analytics The recognition from Forrester comes on the heels of Cray’s highly anticipated launch of the first agile analytics platform, the Cray® Urika®-GX system. The Forrester Wave™: Big Data Hadoop Optimized Systems, Q2 2016 report named Cray a “Strong Performer.” In the report, Forrester defines Hadoop®-optimized systems as: Preconfigured hardware platforms comprising CPU, memory, and/or disk that are ... [ Read More ]

Big Data Advantage, part 1: “It’s down there somewhere. Let me take another look.”

Probably like many of you, the Cray team likes to debate and muse about industry trends when we meet over lunch or drinks. I enjoy our banter – it’s part of what makes it so much fun to work at Cray. In that spirit, I wanted to share some of what I’ve found most interesting in a few posts about what I call “big data advantage.” By now, we’re pretty used to hearing about the potential of big data: new breakthroughs, unforeseen opportunities and disruptive industry impact. And although there have been serious advancements, most businesses still struggle to take full advantage of big data. In fact, I’m sometimes reminded of a line from “The Big Lebowski,” where the Dude says, “It’s down there somewhere. Let me take another look.” So ... [ Read More ]