Structure:Data 2013 live coverage
photo: Albert Chau
You can find all of our coverage of Structure:Data 2013 here, along with links to more info on the conference and a livestream of the action. Read more »
Hadoop’s past, present, and future: A GigaOM special report
Check out our special retrospective on the history of Hadoop, one of the most powerful open-source data tools ever developed, in this post. Read more »
Hadoop through the years: A GigaOM retrospective
We were there very early on for the birth of Hadoop and its maturation into a vital data analysis tool. Here’s a look back at some of our best stories. Read more »
Data? What is it good for? Absolutely … something
photo: Thinkstock Images
It is fashionable these days to either like big data or just malign big data. Regardless of what your personal feelings are, the question has always been and will always be – what is data good for. Here are three stories to illustrate those questions. Read more »
The Hadoop ecosystem: the (welcome) elephant in the room (infographic)
How big an impact has Hadoop had on the technology world? Check out our infographic on the reach of the most important big data tool of our time. Read more »
Can LexisNexis build a Hadoop-killer?
Hadoop may be the current leader of the pack when it comes to handling big data, but LexisNexis says at Structure:Data the system it developed for its own internal data use — and recently open-sourced — is a viable alternative and in some cases is superior. Read more »
Big data allows your employer to be big brother
Your corporation is watching you, and it might be using Cataphora’s software, which mines employees emails, IMs and other electronic communications to determine how big of a risk a corporation might face from one bad apple. Read more »
Exclusive: EMC Buys Pivotal Labs
EMC Corp., the Hopkinton, Mass.-based storage and cloud hardware company has bought Pivotal Labs, a San Francisco-based consulting firms well known for its tool Pivotal Tracker and also for its pioneering work on agile development methodology. I had first reported earlier this week. Read more »
Can Visual.ly spawn the data scientists of the future?
We live in a big data world, full of complex algorithms among any type of information one can imagine. Gaining the skills to work with it requires a lot work, however — and the first step in changing that might be realizing that data can be fun. Read more »
Can big data fix a broken system for software patents?
Legal scholars are always searching for ways to improve the patent system, sometimes via sweeping changes, but big data — especially techniques such as machine learning and natural-language processing — could help provide a technological fix to a big part of the problem. Read more »
How Facebook made it possible to geo-tag everything
It all seems so easy: You log into Facebook, update your status, tell everyone where you are and — voila! — your Timeline is geospatial. Only, while it’s just one extra step for you to add location, building that capability was a tad more complicated for Facebook. Read more »
Data without context is dirt
Data, I believe is like plastic. You can use it to make wonderful things. However, like plastic, it can be a great polluter and create havoc on the environment. Or as I like to say, data without context is dirt. Read more »
