Principles of Data Integration
  • Release Date : 22 September 2021
  • Publisher : Elsevier
  • Genre : Computers
  • Pages : 497 pages
  • ISBN 13 : 9780124160446
Ratings: 4
From 235 Voters
Get This Book

Download or read book entitled Principles of Data Integration by author: AnHai Doan which was release on 22 September 2021 and published by Elsevier with total page 497 pages . This book available in PDF, EPUB and Kindle Format. How do you approach answering queries when your data is stored in multiple databases that were designed independently by different people? This is first comprehensive book on data integration and is written by three of the most respected experts in the field. This book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. Data integration is the problem of answering queries that span multiple data sources (e.g., databases, web pages). Data integration problems surface in multiple contexts, including enterprise information integration, query processing on the Web, coordination between government agencies and collaboration between scientists. In some cases, data integration is the key bottleneck to making progress in a field. The authors provide a working knowledge of data integration concepts and techniques, giving you the tools you need to develop a complete and concise package of algorithms and applications. *Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. *Enables you to build your own algorithms and implement your own data integration applications *Companion website with numerous project-based exercises and solutions and slides. Links to commercially available software allowing readers to build their own algorithms and implement their own data integration applications. Facebook page for reader input during and after publication.

Principles of Data Science

Principles of Data Science

Author : Hamid R. Arabnia,Kevin Daimi,Robert Stahlbock,Cristina Soviany,Leonard Heilig,Kai Brüssau
Publisher : Springer Nature
Genre : Technology & Engineering
Get Book