Category: Databases & Big Data

Apache Oozie Essentials Front Cover

Apache Oozie Essentials

  • Length: 175 pages
  • Publication Date: 2016-01-06
0
0 ratings
Mastering Your Data Front Cover

Mastering Your Data

  • Length: 188 pages
  • Publication Date: 2015-01-03
0
0 ratings
Data as a Service: A Framework for Providing Reusable Enterprise Data Services Front Cover

Data as a Service: A Framework for Providing Reusable Enterprise Data Services

  • Length: 368 pages
  • Publication Date: 2015-08-24
5.0
1 ratings
Memory Dump Analysis Anthology, Volume 7 Front Cover

Memory Dump Analysis Anthology, Volume 7

  • Length: 524 pages
  • Publication Date: 2014-06-15
0
0 ratings
SQL Server AlwaysOn Revealed Front Cover

SQL Server AlwaysOn Revealed

  • Length: 150 pages
  • Publication Date: 2015-12-23
3.6
9 ratings
The Definitive Guide to MongoDB, 3rd Edition Front Cover

The Definitive Guide to MongoDB, 3rd Edition

  • Length: 343 pages
  • Publication Date: 2015-12-09
2.0
1 ratings
Pro jQuery in Oracle Application Express Front Cover

Pro jQuery in Oracle Application Express

  • Length: 221 pages
  • Publication Date: 2015-11-26
5.0
1 ratings
Pro Couchbase Server, 2nd Edition Front Cover

Pro Couchbase Server, 2nd Edition

  • Length: 349 pages
  • Publication Date: 2015-11-26
0
0 ratings
Big Data MBA: Driving Business Strategies with Data Science Front Cover

Big Data MBA: Driving Business Strategies with Data Science

  • Length: 312 pages
  • Publication Date: 2015-12-21
3.7
9 ratings
Unsupervised Learning with R Front Cover

Unsupervised Learning with R

  • Length: 148 pages
  • Publication Date: 2015-12-04
3.5
6 ratings
Practical Sitecore 8 Configuration and Strategy: A User Guide for Sitecore’s Content and Marketing Capabilities Front Cover

Practical Sitecore 8 Configuration and Strategy: A User Guide for Sitecore’s Content and Marketing Capabilities

  • Length: 317 pages
  • Publication Date: 2016-01-13
4.5
9 ratings
Mathematical Problems in Data Science: Theoretical and Practical Methods Front Cover

Mathematical Problems in Data Science: Theoretical and Practical Methods

  • Length: 213 pages
  • Publication Date: 2016-01-30
0
0 ratings