Book Name: Principles and Practice of Big Data Second Edition
Author: Jules J. Berman
Publisher: Elsevier
ISBN-10: 978-0-12-815609-4
Year: 2018
Pages: 453
Language: English
File size: 7 MB
File format: PDF
Good science writers will always jump at the chance to write a second edition of an earlier work. No matter how hard they try, that first edition will contain inaccuracies and misleading remarks. Sentences that seemed brilliant when first conceived will, with the passage of time, transform into examples of intellectual overreaching. Points too trivial to include in the original manuscript may now seem like profundities that demand a full explanation. A second edition provides rueful authors with an opportunity to correct the record. When the first edition of Principles of Big Data was published in 2013 the field was very young and there were few scientists who knew what to do with Big Data. The data that kept pouring in was stored, like wheat in silos, throughout the planet. It was obvious to data managers that none of that stored data would have any scientific value unless it was properly annotated with metadata, identifiers, timestamps, and a set of basic descriptors. Under these conditions, the first edition of the Principles of Big Data stressed the proper and necessary methods for collecting, annotating, organizing, and curating Big Data. The process of preparing Big Data comes with its own unique set of challenges, and the First Edition was peppered with warnings and exhortations intended to steer readers clear of disaster.
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