Alon Halevy – författare

Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application.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.This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels.- 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

Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application.

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.

This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels.

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

NGITS2002 was the ?fth workshop of its kind, promoting papers that discuss new technologies in information systems. Following the success of the four p- vious workshops (1993, 1995, 1997, and 1999), the ?fth NGITS Workshop took place on June 24–25, 2002, in the ancient city of Caesarea. In response to the Call for Papers, 22 papers were submitted. Each paper was evaluated by three Program Committee members. We accepted 11 papers from 3 continents and 5 countries, Israel (5 papers), US (3 papers), Germany, Cyprus, and The Netherlands (1 paper from each). The workshop program consisted of ?ve paper sessions, two keynote lectures, and one panel discussion. The topics of the paper sessions are: Advanced Query Processing, Web Applications, Moving Objects, Advanced Information Models, and Advanced Software Engineering. We would like to thank all the authors who submitted papers, the program committee members, the presenters, and everybody who assisted in making NGITS2002 a reality.