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Google’s mobile search will promote mobile-friendly websites

April 21, 2015 By editor

Google is updating its mobile search algorithm to push mobile-friendly websites up its search rankings. If traffic from mobile devices is important to you, then check whether your site is defined as mobile-friendly using Google's testing tool. … [Read more...]

Filed Under: Web development

OneNet—a distributed functional programming platform from Microsoft

April 5, 2015 By editor

OneNet (now called Prajna) is a distributed functional programming platform being developed at Microsoft. As such, it has a lot of similarities to Apache Spark. Both platforms are built using functional languages---F#, in the case of OneNet, and Scala in Spark---which are also the primary languages for developers using the platforms. OneNet will have support for specializied computing devices, … [Read more...]

Filed Under: Big data

Happy 5th birthday, Spark

March 31, 2015 By editor

The Apache Spark project was first open-sourced on 31 March 2010. While much has been made of how quickly interest in Spark has grown, it's worth pausing to remember that it's been around for a whole five years. The project has had time to mature and expand into areas where there are the practical requirements (e.g. data frames, ML pipelines). Looking forward to what the team comes up with in … [Read more...]

Filed Under: Big data, Data analysis

Birth of a Theorem

March 11, 2015 By editor

I've been listening to extracts from "Birth of a Theorem: A Mathematical Adventure" on BBC Radio 4's Book of the Week. It's Cédric Villani's account of the years leading up to his award of the Fields Medal---the most coveted prize in mathematics. We rarely get a chance to see the creative process at work. All we get to see is the final result---wrapped up in a neat little bow. We don't see the … [Read more...]

Filed Under: General

Big data and narrative

March 6, 2015 By editor

As the amount of data we collect continues to explode, attention needs to shift to making sense of it. Tools like Hadoop and Spark allow us to analyse these huge datasets, but they don't really make sense of it. Senior managers want insights. They want to have their business illuminated by the data. At present, this is done by data scientists analyzing the data and weaving it into a … [Read more...]

Filed Under: Big data, Data analysis

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