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The Building Blocks of a Data-Driven Enterprise

By Ashish Thusoo on May 15, 2015 02:50 pm
4253156137_f3b5626407_bThese days, every business is exploring ways to use data and new technologies to gain a competitive edge. While there’s no questioning the value to be found in big data analytics, organizations have had a low success rate to date when it comes to rolling out data initiatives. A recent Capgemini study, for instance, found that only 13 percent of big data initiatives in organizations surveyed have achieved full-scale production, and only 27 percent of the executives surveyed described their big data initiatives as “successful.” In light of this, what should organizations be thinking about as they roll out their own big data initiatives? Make the data accessible It may sound obvious, but data isn’t useful if it isn’t put in the hands of teams that can make use of...
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R vs. Python: The Data Science Wars

By Juan Salazar on May 13, 2015 03:45 pm
3486794184_f8c36085c4_oChoosing the right language for data analysis can be almost as complicated as actually learning the language. For many reasons, R and Python are two of the most popular: R is often praised for its great features for data visualization, as it was developed with statisticians in mind; plenty of programmers love multi-purpose Python for its so-simple-a-child-could-do-it syntax. Why not just learn both? The fact is, your time is limited. As data scientist and Dataconomy contributor Joshua Ebner says: ‘Learning a new programming language is a large investment in your time, so you need to be strategic about which one you select. The reason to focus on one programming language is because you need to focus much more on process and technique, not syntax. You need to learn how to think about data and how to solve problems using the tools of...
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Better Allies than Enemies: Why Spark Won’t Kill Hadoop

By Rick Delgado on May 13, 2015 11:40 am
Why Spark Won't Kill HadoopFans and supporters of Hadoop have no reason to fear; Hadoop isn’t going away anytime soon. There’s been a great deal of consternation about the future of Hadoop, most of it stemming from the growing popularity of Apache Spark. Some big data experts have even gone so far as to say Apache Spark will one day soon replace Hadoop in the realm of big data analytics. So are the Spark supporters correct in this assessment? Not necessarily. Apache Spark may represent a new technology that’s getting a lot of attention. In fact, the number of Apache Spark users are growing at a considerable pace, but that doesn’t make it Hadoop’s successor. The two technologies certainly have similarities, but their difference really set them apart, showing that the right platform really...
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If Content is King, Algorithms will Rule

By John M. Pierre on May 11, 2015 11:03 am
4466374748_16ec3bf2f7_bFor the first time in hundreds of years, writing is set for an evolution. Certainly, throughout the past several centuries, how people write has changed. From etching on stone and metal tablets and quill pens to movable type and the art of the swipe, the instruments enabling humans to write has seen dramatic improvements. In each of these cases, however, the driver behind the writing instrument is human. He or she has to think, plan, outline and draft whatever content they may be thinking. The manual process for creating content is slow, expensive and difficult to scale, and with content becoming an increasingly more critical part to the marketing engine, speed, costs and relevance matter more than ever. In the age of data and technology, there is a better way....
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