Big Data Glossary

A Guide to the New Generation of Data Tools

Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design
Cover of the book Big Data Glossary by Pete Warden, O'Reilly Media
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Pete Warden ISBN: 9781449317133
Publisher: O'Reilly Media Publication: September 13, 2011
Imprint: O'Reilly Media Language: English
Author: Pete Warden
ISBN: 9781449317133
Publisher: O'Reilly Media
Publication: September 13, 2011
Imprint: O'Reilly Media
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

More books from O'Reilly Media

Cover of the book The Data Journalism Handbook by Pete Warden
Cover of the book Lift Cookbook by Pete Warden
Cover of the book NOOK Tablet: Out of the Box by Pete Warden
Cover of the book Visual Basic 2005 Cookbook by Pete Warden
Cover of the book Hackers & Painters by Pete Warden
Cover of the book Learning ActionScript 3.0 by Pete Warden
Cover of the book Making Things Talk (Make) by Pete Warden
Cover of the book Designing for Sustainability by Pete Warden
Cover of the book Learning Visual Basic .NET by Pete Warden
Cover of the book NOOK HD: The Missing Manual by Pete Warden
Cover of the book Effektives modernes C++ by Pete Warden
Cover of the book ADO.NET 3.5 Cookbook by Pete Warden
Cover of the book Perl in a Nutshell by Pete Warden
Cover of the book Docker Cookbook by Pete Warden
Cover of the book The Art of Capacity Planning by Pete Warden
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy