Latest Big Data Articles To Top Off Your Week

By 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet, according to the annual IDC Digital Universe study. At that point, the world will be looking at digital knowledge in the neighborhood of 44 zettabytes, or 44 trillion gigabytes, up from just 4.4 zettabytes today. In addition to the complexity of data, two phenomena are worth highlighting. First, enterprises will bear the responsibility or liability for the vast majority of this his data. Second, the vast majority of data will never get used. With a projected growth of global data of 2000% by 2020, analysis is key and business opportunities await. With so much discussion around big data and how to derive value of it, how can we not dedicate this week’s articles to this big topic? Happy reading!

1. Big Data: Creating the Power to Move Heaven and Earth

By Manju Basal, published on MIT Technology Review

According to Scandinavian research group SINTEF, “more data has been created in just the last two years than in the entire previous history of the human race.” This finding is quite astonishing and calls for companies to take action. In this article, Manju Basal discusses how by merging big data with personal data collected from the web, social media, and mobiles devices organizations can gain value and change the way people, work, live and play.

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2. The Seven Habits of Highly Effective Big Data Users

By Adrian Bridgwater, published on Forbes

It doesn’t get as clearer than the title provided. Forbes presents the seven holy virtues of big data analytics for users, analysts, developers, managers and evangelists far and wide.

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3. How to Become a Data Scientist

By William Vorhies, published on Data Science Central

With Big Data being all the hype today, putting your foot in this field’s door can open a winning future for your career. Today, many professionals are embracing skills that are up-to-date with current trends in order to enhance their professional status and career. However, William Vorhies states, “what you call yourself is one thing but what your employer or client is looking for can be quite a different kettle of fish.” In this article, Vorhies identifies four types of data scientists, tools crucial to this group, and the steps needed to enter the field of data analytics.

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4. Top Three Big Data Myths: Debunked

By Nick Patience, published on HuffPost Tech

While Big Data is getting great exposure in news outlets and informational publications, there can be an overload of material that may be misconstrued by readers. In order to sift out any misconceptions or misinformation by the never-ending number of publications on Big Data, Nick Patience provides three myths on big data that will give some clarity to the future of data management.

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5. Quick Guide to Trends in Pharma Big Data

By Greg Barlow, published on Verix Blog

When it comes to pharma analytics, it’s a whole new world out there. We all know the traditional data sets, from CRM call activity to third party syndicated data, such as Rx and payer. Meanwhile, just as in other industries, new data sources are becoming available from APLD to EHR – with PGHD in the not too distant future. With so much data available, it is not surprising that Gartner recently reported that CIOs’ top investment priority for 2014 – 2017 will be business intelligence and analytics. So with this priority in mind, what four trends can we act upon today, to revolutionize pharmaceutical analytics?

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