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Big Data Glossary (Paperback)"margin top: 0px; margin bottom: 14px; padding: 0px; font family: Arial, sans serif; background color: rgb(255, 255, 255);"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."margin top: 4px; margin
"margin-top: 0px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; background-color: rgb(255, 255, 255);"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."margin-top: -4px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; background-color: rgb(255, 255, 255);"This handy glossary also includes a chapter of key terms that help define many of these tool categories:
NoSQL DatabasesDocument-oriented databases using a key/value interface rather than SQL
MapReduceTools that support distributed computing on large datasets
StorageTechnologies for storing data in a distributed way
ServersWays to rent computing power on remote machines
ProcessingTools for extracting valuable information from large datasets
Natural Language ProcessingMethods for extracting information from human-created text
Machine LearningTools that automatically perform data analyses, based on results of a one-off analysis
VisualizationApplications that present meaningful data graphically
AcquisitionTechniques for cleaning up messy public data sources
SerializationMethods to convert data structure or object state into a storable format
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.
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