DataSift unlocks the value of monetizing the social web $6 Million Venture Round to Accelerate the Mining of Metadata from Twitter and other Social Networks July 11, 2011 – DataSift, a Delaware corporation, today announced a $6 million round of VC funding co-led by IA Ventures and GRP Partners. DataSift is one of only two companies globally licensed by Twitter to re-syndicate its content. The $6 million investment will be used … (click here to…

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The third Training Module of DataSift, “Operators”, is scheduled on the next Friday 8 of July. In this new interactive webinar we will cover the following topics: DataSift Training Module 03: “Operators” 1. Introduction to Operators 2. General Operators 2.1  contains 2.2  substr 2.3  contains_any 2.4  contains_near 2.5  exists 2.6  in 3. Comparative Operators 3.1  Less Than and Greater Than 3.2  Equals (==) 3.3  Not Equals (!=) 4. Regular Expressions 4.1  regex_partial 4.2  regex_exact 5….

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Today Twitter announced that it will be soon releasing a new integrated photo sharing service. Because this service is part of Twitter it means a new set of meta-data will become available for filtering in DataSift. Twitter have already documented the new entities and we will be adding these to our targets as soon as they become available in the Twitter Firehose. We will be looking at what filtering potential these new entities give our…

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What do Twitter, Netflix and climate change all have in common? Their biggest problems are data problems. And we are turning to Data 2.0 for the answers. The Data 2.0 Conference is a one-day conference on April 4, 2011, in San Francisco that answers the question: How can improved access to data impact your industry?  The U.S. government is opening up its data; social networks are exposing their APIs; and data-as-a-service is a new and…

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A new year and we are super excited about what is coming in 2011. Big data and real-time are hot topics and we feel that DataSift is ready to take on the challenge of assisting our customers with the problems of dealing with finding the right data and soon how to analyse it. So what did we do in 2010? DataSift was built as a platform for consumers and businesses to sift through the real-time…

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DataSift has the ability to enable any user to build upon a stream that you or another user has created.  The concept is pretty simple, each stream has a unique identifier which you will find when you select the stream.  In order to find the identity of the stream click on Stream Identity, and copy it! Then start creating your new stream definition!  This short video shows you the syntax and where to find the…

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We have updated our language detection service within DataSift, as we found that our previous version was unable to identify the language of interactions as reliably and efficiently as we had originally hoped it would.  If you’re wondering where to find it, go to Create Stream or Edit Stream and it’s in the CSDL Language Help area at the bottom of the list. Thanks to the improved efficiency we have added support for ten more…

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Last week we opened DataSift up to our first 100 users and that went really well.  We’ve had some great feedback from our users and have a few areas that we are now focusing on.  As a result we are ready to release our next 100 users. Rather than just adding another 100 users this week we are going to add 100 new users each day this week!  Yes you read that right! 100 new…

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With so many different ways to use DataSift I can imagine figuring out your first stream could be rather daunting. So where do you start? Well here’s an idea, what is your favourite brand? What brands do your company represent or do you work for? Now how do you turn that into something that could be created on DataSift. Well here goes! First things first, define what you want to find out more about! In…

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We have been hard at work on DataSift over the last couple of weeks culminating the next iteration of our platform and making minor fixes to the DataSift site. WebSocket Support The client will see new data as soon as the WebSocket server pushes it out, giving them an advantage over the various polling solutions since it’s not waiting for data to queue and pulling it all at once. So the bottom line is, it’s…

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