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The 6 Things Everyone Needs to Know About the Big Data Economy
The big data economy is scaling up, to match the lightning speeds at which the volume of data available for analysis is growing. 90% of the data available today was created within the last two years, and by 2020 it is estimated there will be 10 times …
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The 10 Coolest Big Data Products Of 2014
Sales of big data hardware, software and services are expected to reach $ 28.5 billion this year and $ 50.1 billion in 2015, according to market research organization Wikibon. A.T. Kearney forecasts that global spending on big data technology will grow …
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New choices bring enterprise big data home
I've heard recently from a bunch of big-data-related vendors that are all vying to gain from your sure-to-grow big data footprint. After all, big data isn't about minimizing your data set, but making the best use of as much data as you can possibly manage.
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Big Data analytics 33 Success Secrets – 33 Most Asked Questions On Big Data analytics – What You Need To Know

Big Data analytics: Classic Edition. There has never been a Big Data analytics Guide like this. It contains 33 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need–fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Big Data analytics. A quick look inside of some of the

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Data Science for Business: What you need to know about data mining and data-analytic thinking

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides

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Data Analytics

This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. The text is designed for undergraduate and graduate courses on data ana

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