Data warehousing in the age of big data
The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals wit...
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| Language: | Undetermined English |
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Amsterdam
Morgan Kaufmann is an imprint of Elsevier
2013
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| Institutions: | Trung tâm Học liệu Trường Đại học Trà Vinh |
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| Summary: | The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory |
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| Physical Description: | xxiii, 346 p. ill. 24 cm |
| Bibliography: | Includes bibliographical references and index |
| ISBN: | 0124058914 9780124058910 |