Big Data, Cloud & DevOps

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

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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    2014 Forecast of Big Data Trends

    Need help with your Big Data project or simply need data scientists, data engineers and visualizers to augment your existing team?

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