In this video, Andrzej Nowak from CERN openLab describes the journey that led to the creation of the Large Hadron Collider particle accelerator and its unique scientific and technological infrastructure: from cathedral-sized particle detectors to world-class data acquisition and computing facilities. Download the slides.
Big Data Could Add $325 Billion to Economy by 2020
August 1, 2013 by 1 Comment
McKinsey has issued a 146 page report this month: Game changers: Five opportunities for US growth and renewal. According to them, Big Data will add $155 to $325 Billion to the US economy by 2020, which represents 0.8 to 1.7 % of GDP. Big-data analytics is a productivity tool. Data is captured everywhere from data […]
Plot.ly Startup Does Big Data Visualization in the Cloud
August 1, 2013 by Leave a Comment
Over at the Montreal Gazzette, Joseph Czikk writes that Plot.ly is a new online platform that allows users to create and collaborate on publication-quality graphs and charts that require large amounts of data. More powerful than Microsoft Excel or Google Docs, it enables data analysts to work together in real-time. Plot.ly is the first […]
LexisNexis Steps up with HPCC Systems Version 4.0
August 1, 2013 by Leave a Comment
This week LexisNexis Risk Solutions announced the availability of version 4.0 of HPCC Systems, an open-source, enterprise-proven platform for Big Data analysis. With 4.0, developers and analysts can enhance code that they already have, and take advantage of the improved capabilities and performance in areas including machine learning, data integration, real-time search and retrieval, and […]
Streamlining Analytics with the IBM Very Large Memory Appliance
July 31, 2013 by Leave a Comment
IBM recently rolled out what they are calling a Very Large Memory Appliance based on ScaleMP software. To learn more, I caught up with ScaleMP’s CEO, Shai Fultheim. insideHPC: What is the IBM Very Large Memory Appliance and what is the problem it is designed to solve? Shai Fultheim: IBM is addressing environments and applications […]
Big Data’s Role in International Development, Poverty Reduction, and Disease Control
July 31, 2013 by Leave a Comment
The World Economic Forum has just released a report on the impact of Big Data in international development. The amount of data in the world is exploding – large portion of this comes from the interactions over mobile devices being used by people in the developing world – people whose needs and habits have been […]
Big Data a Game Changer in Emergency Response for Superstorm Sandy
July 30, 2013 by Leave a Comment
Government Technology reports that Big Data technology was used very effectively during Superstorm Sandy. A partnership created by FEMA, Geeks Without Bounds, and Splunk4Good conducted an analysis of sensor data, hashtags, Instagram photos, data from evacuation rates, and keywords such as: power, food, fuel, and water. The information was then used to predict the areas […]
Rutgers Selects Xyratex HPC Storage Powered by Lustre
July 30, 2013 by Leave a Comment
Today Xyratex announced that its new ClusterStor 1500 solution has been selected by Rutgers University to support its growing HPC needs. We chose the ClusterStor 1500 by Xyratex for its new HPC cluster, an Intel-based system using Infiniband, because it is a cost-effective, high-performing system from a vendor with significant experience implementing and supporting such […]
Video: From Big Data to Bigger Ideas
July 29, 2013 by Leave a Comment
In this TEDx video, Paul Verschure from the Catalan Institute of Advanced Studies discusses the dillemma of how do we best handle the exponential accumulation of data without it overwhelming us? In his talk, he shows how having large amounts of data on a topic cannot always assure a better understanding and how creativity is […]
CFOs Take Note: Big Data on the March
July 29, 2013 by Leave a Comment
Are your competitors using Big Data? The Wall Street Journal reports that a recent Forrester Research indicates increasing adoption of Big Data technologies. The study of 634 companies revealed that forty four percent have implemented, expanded, or plan to implement Big Data technologies. And while an additional thirty one percent are interested, they have no deployment […]
