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 JSON at Work by Pete Warden
Cover of the book C Pocket Reference by Pete Warden
Cover of the book Regular Expressions Cookbook by Pete Warden
Cover of the book Sendmail by Pete Warden
Cover of the book Learning HTTP/2 by Pete Warden
Cover of the book Think Python by Pete Warden
Cover of the book Oracle PL/SQL Language Pocket Reference by Pete Warden
Cover of the book Intel Threading Building Blocks by Pete Warden
Cover of the book Open Source for the Enterprise by Pete Warden
Cover of the book The Information Diet by Pete Warden
Cover of the book Programming Pig by Pete Warden
Cover of the book Data Science with Java by Pete Warden
Cover of the book Python Data Science Handbook by Pete Warden
Cover of the book Building iPhone Apps with HTML, CSS, and JavaScript by Pete Warden
Cover of the book Das Android-Smartphone-Buch 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