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Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners by Jared Dean

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PART ONE The Computing Environment

With data collection, “the sooner the better” is always the best answer.

— Marissa Mayer

Data mining is going through a significant shift with the volume, variety, value and velocity of data increasing significantly each year. The volume of data created is outpacing the amount of currently usable data to such a degree that most organizations do not know what value is in their data. At the same that time data mining is changing, hardware capabilities have also undergone dramatic changes. Just as data mining is not one thing but a collection of many steps, theories, and algorithms, hardware can be dissected into a number of components. The corresponding component changes are not always in sync with this increased demand in data mining, machine learning, and big analytical problems.

The four components of disk, memory, central processing unit, and network can be thought of as four legs of the hardware platform stool. To have a useful stool, all the legs must be of the same length or users will be frustrated, stand up, and walk away to find a better stool; so too must the hardware system for data mining be in balance in regard to the components to give users the best experience for their analytical problems.

Data mining on any scale cannot be done without specialized software. In order to explain the evolution and progression of the hardware, there needs to be a small amount of background on the traditional interaction between hardware and ...

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