"data product" entries
The year in big data and data science
Hadoop, security and open data defined the data world in 2011.
From wide adoption of Hadoop to personal data empowerment, Radar data correspondent Audrey Watters looks back on the data trends that shaped 2011.
Where is the OkCupid for elections?
Developers are using big data to match people with candidates.
What will be the "OkCupid for elections" in 2012? Open source app OkCandidate.com offers one approach and startup ElectNext is applying data analysis with an issue-matching engine.
Stickers as sensors
GreenGoose looks to unlock the data in everyday activities.
Put a GreenGoose sticker on an object, and just like that, you'll have an Internet-connected sensor. In this interview, GreenGoose founder Brian Krejcarek discusses stickers as sensors and the data that can be gathered from everyday activities.
Big data goes to work
Smart companies use data to ask the right questions and take swift action.
Alistair Croll looks at how data is shaping consumer expectations and how those expectations, in turn, are shaping businesses. He also examines where business intelligence stops and big data starts.
Strata Week: Why ThinkUp matters
ThinkUp and data ownership, DataSift turns on its Twitter firehose, and Google cracks opens the door to BigQuery.
Data democratization gets an important new tool with the release of ThinkUp 1.0. Also, DataSift offers another way to get the Twitter firehose, and Google offers a little more access to its BigQuery data analytics service.
Helping educators find the right stuff
The Learning Registry looks to crack the education resource discovery problem.
There are countless repositories of high-quality content available to teachers, but it is still nearly impossible to find content to use with a particular lesson plan for a particular grade aligned to particular standards. That's where the Department of Education's new Learning Registry comes in.
Social network analysis isn’t just for social networks
Social network analysis (SNA) finds meaningful patterns in relationship data.
The scientific methodology of social network analysis (SNA) helps explain not just how people connect, but why they come together as well. Here, "Social Network Analysis for Startups" co-author Maksim Tsvetovat offers a primer on SNA.
Social network analysis isn't just for social networks
Social network analysis (SNA) finds meaningful patterns in relationship data.
The scientific methodology of social network analysis (SNA) helps explain not just how people connect, but why they come together as well. Here, "Social Network Analysis for Startups" co-author Maksim Tsvetovat offers a primer on SNA.
When good feedback leaves a bad impression
Panagiotis Ipeirotis on the vagaries of semantic analysis and Mechanical Turk's quirks.
In a recent interview, NYU Professor Panagiotis Ipeirotis explained why a "good" online review is often perceived negatively. He also discussed Mechanical Turk's growing pains.
Top Stories: October 31-November 4, 2011
An author turns to automation, a look at privacy in the age of big data, and a simple rule for data ethics.
This week on O'Reilly: Former author Robbie Allen explained his shift to software-generated writing, Terence Craig said transparency is the best way to handle digital privacy, and we learned how a simple question can keep data companies honest.