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 DatabasesâDocument-oriented databases using a key/value interface rather than SQL MapReduceâTools that support distributed computing on large datasets StorageâTechnologies for storing data in a distributed way ServersâWays to rent computing power on remote machines ProcessingâTools for extracting valuable information from large datasets Natural Language ProcessingâMethods for extracting information from human-created text Machine LearningâTools that automatically perform data analyses, based on results of a one-off analysis VisualizationâApplications that present meaningful data graphically AcquisitionâTechniques for cleaning up messy public data sources SerializationâMethods to convert data structure or object state into a storable format
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