Sport Analytics: Who is Really All-In?
Who is the ‘Mystery’ MLB Team that has a Cray Supercomputer? It is a great story, but after two decades in the U.S. Special Operations Command and another 10 years building and operating capabilities...
View ArticleMusic and the Internet of Things at SXSW
Every March the South by Southwest (SXSW) music, film and interactive festivals and conferences draw tens of thousands of artists, fans and techies to Austin, Texas. This year Cray was asked to join...
View ArticleThe Best Practices are No Longer the “Best” Practices – Part I
There was a time when information systems security was simpler. It focused on the appropriate time frame to take a sample of a one-dimensional system log that tracked events like blocked traffic, virus...
View ArticleThe Best Practices are No Longer the “Best” Practices – Part II
Earlier this week, I shared my views about best practices and cybersecurity. Now I want to move beyond best practices as your sole defense. The traditional cybersecurity mindset is one of prevention,...
View ArticleNew Computational Tools Leverage Hadoop® and Spark™ for NGS Workflows
Life sciences research continues to evolve rapidly. While structural biology, drug discovery and materials science are still important, we’re seeing an increasing focus on analytics and the more...
View ArticleScale Out Analytics, Not People
We’ve been living in a scale-out world for analytic workloads during the last handful of years. MPP data warehouses, clustered NoSQL, Hadoop® and Spark™, falling collectively under the big data...
View ArticleThinking Out of the (Music) Box for Creative Data Analytics
Among a host of other achievements, the multi-talented David Byrne wrote a great book. You may know Byrne as the cofounder and creative force behind the American rock band Talking Heads. His most...
View ArticleCray’s Innovative Analytics System Named “Best of Show”
At last week’s Bio-IT Conference & Expo, Cray’s Urika-XA™ extreme analytics platform was selected as Best of Show in the IT Infrastructure and Hardware category. For Cray, this recognition was a...
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[Infographic] The Emergence of Analytics & Big Data in Baseball
As the economics of baseball have changed with higher salaries and increased player activity, along with public interest in game information, we have advanced from hand-coded historical models to the...
View ArticleFrom Grand Challenge Applications to Critical Workflows for Exascale | Part I
(This is the first in a series of three posts. The second will discuss critical workflows in oil and gas and the life sciences while the last will speculate about machine learning techniques to...
View ArticleCan We Make Petabytes Useful?
A recent article in Nature, “The Power of Petabytes”, by Michael Eisenstein, reviews how exponentially increasing life science data exceeds our present abilities to process and make sense of it. Even...
View ArticleAlan Turing Institute Will Lead Research in Data Science
Cray is partnering with the Alan Turing Institute, the new U.K. data science research organization in London, to help the U.K. as it increases research in data science to benefit research and industry....
View ArticleTop 5 Blog Posts From 2015
Happy New Year! Check out some of the top blog posts from 2015: Why Do Better Forecasts Matter? Meteorologists have been striving to increase the accuracy of their work since the first weather...
View Article5 Predictions of Where Supercomputing is Heading in 2016
From new processor technologies to quantum computing, 2016 promises to be another exciting year for supercomputing. Here are five predictions as to how the industry will push ahead in 2016: The year...
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Graph Databases 101
Let’s talk about graph databases. Some industry watchers claim that they are the fastest-growing type of database. If so, maybe it’s useful to know more about them. Starting with the basics: What is a...
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How the Cray Graph Engine Manages Graph Databases
In part 1 of this series, we looked at why graph databases are worth considering. In summary, graph databases can answer complex questions that relational databases can’t. In this installment, we will...
View ArticleGraph: The Missing Link in Big Data Analytics
Graph analytics is gaining traction in the world of big data and IoT. From solving real-world problems such as detecting cyberattacks and creating value from IoT sensor data to precisely identifying...
View ArticleHow CGE Achieves High Performance and Scalability
In our graph series so far, we have explored what graph databases are and when they are valuable to use, as well as the Cray Graph Engine (“CGE”), a robust graph solution. For this last installment, we...
View ArticleGraph Databases: Key Thoughts from Online Chat
It’s pretty interesting to see graph analytics gain traction in the work of big data. We’ve been focusing on graph databases to round out Hadoop® and Spark™ ecosystems and allow for more advanced...
View ArticleUrika-GX: A Game Changer for Big Data Analytics
There’s a lot of hype around big data in healthcare and the life sciences. But big data is here to stay. Information is what drives the entire industry. When I worked in big pharma, I learned that the...
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