Big Data: Featured Articles
By: Paul Mcfedries
As science becomes more data intensive, so does our language.
"In the past, most scientific disciplines could be described as small data, or even data poor. Most experiments or studies had to contend with just a few hundred or a few thousand data points. Now, thanks to massively complex new instruments and simulators, many disciplines are generating correspondingly massive data sets that are described as big data, or data rich. Consider the Large Hadron Collider, which will eventually generate about 15 petabytes of data per year. A petabyte is about a million gigabytes, so that qualifies as a full-fledged data deluge..."
By: Elise Ackerman, Erico Guizzo
Innovations that will make the web smarter and sleeker and irresistibly more social, too.
By: Chalapathy Neti, Shahram Ebadollahi, Martin Kohn, David Ferrucci
IBM Watson is a new class of industry specific analytical solutions that leverages deep content analysis and evidence based reasoning to accelerate and improve decisions and optimize outcomes.
By: Steve Lohr
This has been the crossover year for Big Data -- as a concept, as a term and, yes, as a marketing tool. Big Data has sprung from the confines of technology circles into the mainstream.
By: Thomas H. Davenport, Paul Barth, Randy Bean
These days, lots of people in business are talking about "big data." But how do the potential insights from big data differ from what managers generate from traditional analytics?
By: The Hindu
Organisations view big data (large data sets) as a business opportunity rather than an IT challenge, says a recent survey of Indian IT and business professionals conducted by Informatica Corporation. The sample size of the survey was over 200.
By: Sixto Ortiz Jr.
Big Data has strained traditional hierarchical storage approaches. Businesses are thus increasingly turning to object storage.
By: Paul Sloan
Rick Smolan, the man behind the "Day in the Life" books, dispatches an army of photographers and researchers to capture how data is changing the world.
By: Lucas Mearian
Only 15% of data will be stored in the cloud by 2020.
By: Rick Merritt
Researchers showed progress accelerating the search for gene-based cures for cancer and expanding the field of computer theory at an annual event sponsored by the University of California at Berkeley. They also discussed work on next-generation processor architectures and an effort to speed the development of an Internet of Things.
By: R. Colin Johnson
Streamlined analytics in Microsoft's structured query language cut processing time for wafer fab data at AMD by 90 percent plus boost energy efficiency 10-times at Samsung.
By: Kathy Pretz
Big data is predicted to bring big career opportunities for IT professionals and boost the bottom line as more companies look for ways to make sense of their massive data streams.
By: Tim Menzies, Thomas Zimmermann
"In this special issue of IEEE Software, we invited submissions that reflected the benefits (and drawbacks) of software analytics. The response was overwhelming. Software analytics is an area of explosive growth, and we had so many excellent submissions that we had to split this special issue into two volumes—you'll see even more content in the September/October issue. We divided the articles on conceptual grounds, so both volumes will feature equally excellent work."
By: Will Garside, Brian Cox
A handy guide for designing, implementing and managing your storage architecture to support innovative Big Data Projects.
The massive growth in electronic data holds the potential for great scientific breakthroughs, better business models and new ways of managing healthcare, food production and the environment. Gaining valuable insight and use of Big Data requires innovative storage architectures, management processes and practices to help save time, money and make you more secure. Read all about it in this book.
By: Lars Jentsch
Everyone is talking about big data. Cited as the future of data analytics, big data is credited with allowing us to spot business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and keep us out of traffic jams. At the same time, big data has businesses running scared as they try to hire or develop the expertise to put this potentially powerful tool to work. In response to both trends, some of the most successful big data innovators are coming together to define some of the key issues and advances in big data at a high-level/high-relevance event called Rock Stars of Big Data. The speakers will present their "vision" for the future of big data with actionable, real-world approaches.
By: Tim Menzies, Thomas Zimmermann
In 2012, we announced a special issue for IEEE Software: “Software Analytics: So What?” The response was overwhelming—so much so that we've spread those papers across two issues of this magazine. This second issue discusses the many faces of software analytics. The articles highlight the power of analytics for different types of organizations: large organizations and open source projects, as well as small- to medium-sized projects.
By: Aubrey Kagan
Aubrey Kagan, Engineering Manager, Emphatec: "In order to preserve my old data books and application notes, I've now scanned well over 300,000 pages, all of which translates to 107GB of data."