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Studieboeken (14)
Database Processing: Fundamentals, Design, and Implementatio
2015 || Paperback || David Kroenke e.a. || Pearson
For undergraduate database management courses. Get Students Straight to the Point of Database ProcessingDatabase Processing: Fundamentals, Design, and Implementation reflects a new teaching and professional workplace environment and method that gets students straight to the point with its thorough and modern presentation of database processing fundamentals. The Fourteenth Edition has been thoroughly updated to reflect the latest software.
The Data Warehouse Toolkit / 3rd edition
The Definitive Guide to Dimensional Modeling
2013 || Paperback || Ralph Kimball e.a. || John Wiley and Sons Ltd
Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensi...
Data Modeling Made Simple / 2nd edtion
A Practical Guide for Business & IT Professionals
2009 || Paperback || Steve Hoberman || Technics Publications LLC
Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives:
Know when a data model is needed and which type of data model is most effective for each situation
Read a data model of any size and complexity with the same confidence as reading a book
Data Mining / 4th edition
Practical Machine Learning Tools and Techniques
2016 || Paperback || Ian H. Witten e.a. || Elsevier
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at ...