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Online Public Access Catalogue

题名/责任者:

Principles and practices of big data : preparing, sharing, and analyzing complex information / Jules J. Berman.

版本说明:

Second edition.

出版发行项:

Oxford, UK : Academic Press is an imprint of Elsevier, c2018

ISBN:

0128156090

ISBN:

9780128156094 :

载体形态项:

xxviii, 452 pages : illustrations ; 24 cm

个人责任者:

Berman, Jules J., author.

论题主题:

Big data.

中图法分类号:

TP311.13

书目附注:

Includes bibliographical references and index.

摘要附注:

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers) The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided) Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines.

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