Big Data, Cloud & DevOps

Big Data in the Evolution of the CIO Role

As the big data wave has conquered and transformed the universe around us, the role of the chief information

IDC Predicts the Future of Big Data Industry

The significant feature of the platform shift in the worldwide IT market is that particular sub-segments of the IT

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K Means Clustering in Text Data

K means clustering is a method that is often used in sentiment analysis. This post gives an overview of how to implement this method.

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  • SAP Business Objects vs SAS Business Intelligence: Whos the Winner?

    The potential of data analytics is being recognized by increasing number of sectors every day, be it financial, administrative,E

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    Microstrategy vs Tableau: Who’s Ahead in the BI Race?

    With the inflow of a huge volume of data comes the need to handle it better. This is because

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    Big Data Goes to the Movies

    Big Data Goes to the Movies

    The American film industry, with its phenomenal $520 billion revenue (2013) has been blessed by big data. So what

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    Data Science Race Man vs Machine

    Two separate trends have overtaken the world the growing automation of every facet of society, and the recent explosion of

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    Big Data Database To SQL or NoSQL?

    A Wikibon study on the big data market conducted around the first quarter of 2013 attempted to divide the market based on

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    Big Data Benefits: Fact or Fiction?

    While the uproar over big data has blinded the average business owner, the crucial question that needs to be

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    Big Data Weekly: Act-On, Beckon, Medicare, Vertica Big Data Conference

    Act-On raises $42 million for business expansion Act-On, a marketing automation system vendor, has managed to raise $42 million

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    Big Data Taps into Social Media Mainstream: Business and Government Impacts

    Data, technologies and tools that provide access to data form a core component in today’s mainstream society. One of

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    HP’s Data Lake Meets Hadoop

    Large enterprises usually have fragmented data deposits in department-centric silos or customer service systems. When cross-functional data are required

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