Big Data Glossary

Big Data Glossary

Online Periodical or Article - 2011
Rate this:

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
Publisher: Sebastopol, CA : O'Reilly, c2011.
ISBN: 9781449314590
Branch Call Number: QA76 .W37 2011
Characteristics: 1 online resource (ix, 42 p.) : ill., maps.


From the critics

Community Activity


Add a Comment

There are no comments for this title yet.


Add Age Suitability

There are no ages for this title yet.


Add a Summary

There are no summaries for this title yet.


Add Notices

There are no notices for this title yet.


Add a Quote

There are no quotes for this title yet.

Explore Further

Browse by Call Number


Subject Headings


Find it at MCPL

To Top