Big Data Glossary: A Guide to the New Generation of Data Tools, 1st Edition eBook

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To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment. This handy glossary also includes a chapter of key terms that help define many of these tool categories: NoSQL Databases—Document-oriented databases using a key/value interface rather than SQL MapReduce—Tools that support distributed computing on large datasets Storage—Technologies for storing data in a distributed way Servers—Ways to rent computing power on remote machines Processing—Tools for extracting valuable information from large datasets Natural Language Processing—Methods for extracting information from human-created text Machine Learning—Tools that automatically perform data analyses, based on results of a one-off analysis Visualization—Applications that present meaningful data graphically Acquisition—Techniques for cleaning up messy public data sources Serialization—Methods to convert data structure or object state into a storable format

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Big Data Glossary: A Guide to the New Generation of Data Tools 1st Edition is written by Pete Warden and published by O’Reilly Media. The Digital and eTextbook ISBNs for Big Data Glossary are 9781449317522, 1449317529 and the print ISBNs are 9781449314590, 1449314597. Additional ISBNs for this eTextbook include 9781449315085, 9781449317324, 9781449317133.