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Big Data: The Hadoop Business Case

CTOvision

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

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Big Data & Brews from Strata NY 2015: Tony Baer on Spark in the Hadoop Ecosystem

CTOvision

Datameer kicked off their first Big Data & Brews on the East Coast at Strata + Hadoop World New York. Watch Part 1 of Big Data & Brews with Tony Baer here. Andrew: That’s sort of a prerequisite for Big Data and Brews. TRANSCRIPT: Andrew: All right. How’s that?

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Thriving in a Cloud, Big Data, Mobility and Security World

Cloud Musings

Advanced, Pervasive and Invisible Analytics - Analytics will take center stage as the volume of data generated by embedded systems increases and vast pools of structured and unstructured data inside and outside the enterprise are analyzed. Software-defined networking, storage, data centers and security are maturing.

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Solarflare: Revolutionizing the way enterprises scale, manage and secure data centers

CTOvision

Solarflare is a leading provider of application-intelligent networking I/O software and hardware that facilitate the acceleration, monitoring and security of network data. They are a top player in infrastructure including the critically important Data Center so we track them in our Leading Infrastructure Companies category.

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What is big data analytics and it’s impact on your organization?  

Galido

About eighty percent of the data in your enterprise is in a multi-structured format, and that means it’s not in a relational format and is hard to analyze. Big data implies different analytics, different data structures, and diversity to the analytics that we need to deliver. Big data challenges and characteristics.

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What is big data analytics and it’s impact on your organization?  

Galido

About eighty percent the data in your enterprise is in a multi-structured format, and that means it’s not in a relational format and is hard to analyze. Big data implies different analytics, different data structures, a diversity to the analytics that we need to deliver. Big data challenges and characteristics.

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The Best Ways to Get Rid of Unwanted Data

CTOvision

Big Data holds a lot of profitable potential for a business. While you’re looking at how much consumer interest can be gleaned from the lakes upon lakes of data, enabling you to better predict their interest and better tailor your services to reach the right audience more effectively – what you’re missing is how much room it takes.

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