Data warehousing in the age of big data
This book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Waltham, MA
Morgan Kaufmann is an imprint of Elsevier
2013
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| Subjects: | |
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| 008 | 221104 2013 maua bi 000 0 eng d | ||
| 020 | |a 9780124058910 | ||
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| 090 | |a QA 76.9.D37 |b K75 2013 | ||
| 100 | 1 | |a Krishnan, Krish | |
| 245 | 1 | 0 | |a Data warehousing in the age of big data |c Krish Krishnan |
| 264 | 1 | |a Waltham, MA |b Morgan Kaufmann is an imprint of Elsevier |c 2013 | |
| 300 | |a xxiii, 346 pages |b illustrations |c 24 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index | ||
| 505 | |a Part 1 : Big Data -- Introduction to Big Data -- Complexity of Big Data -- Big Data Processing Architectures -- Big Data Technologies -- Big Data Business Value -- Part 2 : The Data Warehouse -- Data Warehouse -- Re-Engineering the Data Warehouse -- Workload Management in the Data Warehouse -- New Technology Approaches -- Part 3 : Extending Big Data into the Data Warehouse -- Integration of Big Data and Data Warehouse -- Data Driven Architecture -- Information Management and Lifecycle -- Big Data Analytics, Visualization and Data Scientist -- Implementing The "Big Data" Data Warehouse -- Appendix A : Customer Case Studies From Vendors -- Appendix B : Building The HealthCare Information Factory | ||
| 520 | |a This book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. | ||
| 592 | |a 00013809 |b 19/11/14 |c RM183.80 |h PVK | ||
| 650 | 0 | |a Big data | |
| 650 | 0 | |a Data warehousing | |
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