Principles and Practice of Big Data Preparing, Sharing, and Analyzing Complex Information
“Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition” by Jules J. Berman, published by Elsevier Science on July 25, 2018, is a comprehensive resource that updates the first edition with new techniques and algorithms specifically designed for Big Data projects. This edition emphasizes that effective data analysis on large, complex datasets can be accomplished without relying on specialized software or expensive hardware, making it accessible for a wider audience.
Readers will find a wealth of information that illustrates how to understand and analyze complex data collections through practical examples. The book provides insights into data science and business intelligence, demonstrating that with the right questions and understanding of data, significant insights can be gained. This edition, comprising 480 pages, is suitable for students and professionals across various scientific disciplines who seek to expand their knowledge beyond traditional academic boundaries.
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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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