Biography for Tim McElligott
Tim McElligott is editor of FierceBigData. He has 14 years of experience (and counting) as a trade journalist writing mostly about telecommunications and the systems that support it. He was the Editor-in-chief of B/OSS and senior editor for award-winning Telephony magazine, may it rest in peace. He likes technology, but likes even more the people who invent it, productize it, implement it, support it, market it, sell it and use it to innovate and change civilization in the process. McElligott is from Chicago’s southside, suburbia really, but why quibble? He can be reached at firstname.lastname@example.org. Follow @timmcelligott on Twitter or on LinkedIn.
Articles by Tim McElligott
Hadoop, the database everyone associates with big data, has had a run of more traditional deployment lately, which is good for Hadoop, but also still good for those looking for more proof of its ability to scale.
Founder and data scientist Carlos Guestrin started the GraphLab open source project five years ago. He said recently that data has the ability to make our lives better--whether applied to public health, economics or by suggesting the perfect song. Graphs, he said, help people think in a new way and see things differently.
Google is betting the way to users' hearts is through their photos.
7, announced this week its acquisition of Shopalize, a social commerce platform specializing in social sharing and social referral solutions.
Software has done a great job automating processes and protecting quality, but big data is helping manufacturers measure their productivity over time and determine the best settings and methods for systems in their plants.
Even the White House has its policies around "open data standards," and has developed a set of guiding principles around implementation. But these so-called standards are not in any way a set of specifications for the industry.
But we do have data, lots and lots of data. And campaigns have money, lots and lots of money. The two are joining forces and will be a focal point for the next presidential campaign, which is already underway.
By using tools, languages, and libraries normally used for designing single-machine applications across multiple machines, Ubalo was able to reduce image processing tasks from eight hours to five minutes.
While credit card companies and retailers team to sift through every morsel of data they have about their customers, one positive by-product of this exercise for consumers is coming from American Express.
It is good to see a Fortune 500 company such as MasterCard concerned with the competitive capabilities of small businesses and pushing for their ability to leverage big data analytics like it does.