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Adrian Cockcroft , a cloud architect at Netflix , is running a series of posts looking at how different NoSQL databases handle common cloud computing tasks. All the usual disclaimers apply: SQL is good for some things, and different scenarios call for different NoSQL solutions. No one solution is necessarily "better" overall. However, as Cockcroft writes "We need a basis for comparison across them, so that we understand the differences in behavior."
NoSQL: Comparing the Different Solutions - ReadWriteCloud
Facebook & The Semantic Web
We are experiencing a big data explosion, a result not only of increasing Internet usage by people around the world, but also the connection of billions of devices to the Internet. Eight years ago, for example, there were only around 5 exabytes of data online. Just two years ago, that amount of data passed over the Internet over the course of a single month. And recent estimates put monthly Internet data flow at around 21 exabytes of data. This explosion of data - in both its size and form - causes a multitude of challenges for both people and machines. No longer is data something accessed by a small number of people.
The Age of Exabytes: Tools & Approaches for Managing Big Data
Top 10 Semantic Web Products of 2010
Secrets of the LinkedIn Data Scientists
I suffer from severe data envy when it comes to LinkedIn. They have detailed information on millions of people who are motivated to keep their profiles up-to-date, collect a rich network of connections and have a strong desire from their users for more tools to help them in their professional lives. Over the past couple of years Chief Scientist DJ Patil has put together an impressive team of data scientists to deliver new services based around all that information. One of my favorites is their career explorer , using the accumulated employment histories of millions of professionals to help students understand where their academic and early job choices might lead them. Ali Imam's connection network, via Russell JurneyIn May last year we wrote about the state of Linked Data , an official W3C project that aims to connect separate data sets on the Web. Linked Data is a subset of the wider Semantic Web movement, in which data on the Web is encoded with meaning using technologies such as RDF and OWL. The ultimate vision is that the Web will become much more structured, which opens up many possibilities for "smarter" Web applications. At this stage last year, we noted that Linked Data was ramping up fast - evidenced by the increasing number of data sets on the Web as at March 2009. Fast forward a year and the Linked Data "cloud" has continued to expand.

