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BIG DATA BIG ANALYTICS: EMERGING INTELLIGENCE & TRENDS

Information Technology

Business & Economics

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B2B & B2C

The simultaneous rise of cloud, social, and mobile computing has created an explosion of new data. This explosion has rapidly overwhelmed the capacity of existing information systems, creating intense demand for new technologies designed to manage the flood of data created by businesses, consumers, and automatic sensors. Thanks to the astonishingly fast growth of mobile social networking, much of the new data created is unstructured. Traditional methods for handling structured data are simply inadequate, inefficient and ineffective for managing the torrent of unstructured data generated by hundreds of millions of consumers and individuals worldwide.   A new generation of analytic technologies is emerging to make sense of this deluge and turn it from unintelligible data into usable information. Many of these newer technologies are based on open-source programming languages (Open Source R) designed specifically for data analysis. This book explains this new technology and how companies can use them effectively to gather the data that they need.

Big Data, Big Analytics

POST SECONDARY FOUR YEAR

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Duration

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Front Cover.
Half Title Page.
Wiley CIO Series.
Title Page.
Copyright Page.
Dedication.
Contents.
Foreword: Big Data and Corporate Evolution.
Preface.
Acknowledgments.
Other Frontmatter.
1: What Is Big Data and Why Is It Important?.
2: Industry Examples of Big Data.
3: Big Data Technology.
4: Information Management.
5: Business Analytics.
6: The People Part of the Equation.
7: Data Privacy and Ethics.
Conclusion.
Recommended Resources.
About the Authors.
Index.

Big Data, Big Analytics.css-1p8rvzy{position:absolute;padding-left:8px;}

Big Data, Big Analytics