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Facebook is liberating a large collection of libraries that it uses internally for C++ development. The code is available from a public GitHub repository where it is distributed as open source under the permissive Apache Software License.

The assortment of frameworks is collectively called Folly, the Facebook Open Source Library. Its individual components support a diverse spectrum of capabilities, ranging from general-purpose programming functionality to more specialized pieces that are designed to help developers wring extra performance out of complex applications.

Among many other things, the Folly libraries simplify concurrency, string formatting, JSON manipulation, benchmarking, and iterating over collections. They also offer optimized drop-in replacements for several C++ standard library classes, including std::string.

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Google Logo Made Old

Google has formally launched its own entry into the big data market.

It officially released its cloud-based tool BigQuery. The search giant had been testing the tool in private beta since November and it is now open to all comers -- for a price, it said in a blog post.

BigQuery is Google's cloud service alternative to things like the open source project Hadoop, HP's Vertica, IBM's Netezza or Wall Street IPO darling Splunk.

BigQuery can handle terabytes of data and although Google is now charging for the service it is letting users store up to 100 gigabytes for free.

This is particularly interesting because Google invented the techniques that lead to the big data revolution. Years ago it published some technical papers describing how it deals with massive volumes of data so quickly. Others read those papers, used those technique and came up with their own versions. The big data revolution was born.

Today big data is one of the hottest technologies around. Market research firm IDC predicts companies will spend $16.9 billion on big data products and services by 2015, compared to $3.2 billion in 2010. Google wants its share of those billions.

Big data refers to a combination of technologies that can search and analyze massive amounts of information nearly instantly no matter what format they are in: tweets, posts, e-mails, documents, audio, video.

Google thinks BigQuery beats the alternatives because it's so easy to use -- by hooking into one interface BigQuery gives users access to Google's powerful data centers. Alternatives like Hadoop take a lot of expertise to set up and you still have to run it on some hardware somewhere.

BigQuery is priced affordably too -- at least for a six month "introductory" period. 12 cents per gigabyte per month and 3.5 cents per gigabyte processed per day.

Don't miss: Big Data Is The Hottest Thing To Hit The Web In Years: Here's Why

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The venture capital firm funded by Google is building up its data sciences team to increase the capabilities inside its companies and to look for new investments in the area. The firm is extending a thesis that was developed inside Google about finding patterns in big collections of data, which it hopes will work in other industries.

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gManZboy writes "JPMorgan Chase and other companies at this year's Hadoop World conference came begging for job applicants: They say they can't find enough IT pros with certain skills, including Hadoop MapReduce. That spells high pay. As for Hadoop's staying power as a career path (a la SQL 30 years ago), IBM, Microsoft and Oracle have all embraced Hadoop this year. Maybe the best news of all: 'Intelligent technologists will pick up Hadoop very quickly.'"

Read more of this story at Slashdot.

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