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210123 ||| eng |
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|a 0123914795
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| 020 |
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|a 9780123914798
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| 050 |
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4 |
|a QA76.9.D338
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| 100 |
1 |
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|a Doan, AnHai
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| 245 |
0 |
0 |
|a Principles of data integration
|c AnHai Doan, Alon Halevy, Zachary Ives
|
| 260 |
|
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|a [Waltham, MA]
|b Morgan Kaufmann
|c 2012
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| 300 |
|
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|a 521 pages
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 505 |
0 |
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|a pt. 1. Foundational data integration techniques -- pt. 2. Integration with extended data representations -- pt. 3. Novel integration architectures
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| 653 |
|
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|a COMPUTERS / Data Processing / bisacsh
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| 653 |
|
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|a Data integration (Computer science) / fast
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| 653 |
|
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|a Intégration de données (Informatique)
|
| 653 |
|
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|a Data integration (Computer science) / http://id.loc.gov/authorities/subjects/sh2010014388
|
| 700 |
1 |
|
|a Halevy, Alon
|
| 700 |
1 |
|
|a Ives, Zachary G.
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 500 |
|
|
|a Available through ScienceDirect
|
| 776 |
|
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|z 9780124160446
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| 776 |
|
|
|z 0124160441
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| 776 |
|
|
|z 1280851317
|
| 776 |
|
|
|z 0123914795
|
| 776 |
|
|
|z 9780123914798
|
| 776 |
|
|
|z 9781280851315
|
| 776 |
|
|
|z 9786613711687
|
| 776 |
|
|
|z 6613711683
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9780124160446/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 500
|
| 082 |
0 |
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|a 005.7/3
|
| 520 |
|
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|a 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
|