| 000 | 03591nam a22003377a 4500 | ||
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| 005 | 20220903111648.0 | ||
| 006 | a|||||r|||| 00| 0 | ||
| 007 | ta | ||
| 008 | 220406b ||||| |||| 00| 0 eng d | ||
| 020 | _q97819846074304 (e-book) | ||
| 040 |
_bEnglish. _cCvSU-CCAT Campus Library. _erda. |
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| 050 |
_aEBOP QA 76.9 _bD37 2018 |
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| 245 |
_aDatabase and data warehousing technologies / _cedited by Jovan Pehcevski. |
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| 260 |
_aOakville, Ontario : _bArcler Press, _cc2018. |
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| 300 |
_axxviii, 281pages : _bcolor illustrations |
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| 336 |
_2rdacontent _atext _btxt |
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| 337 |
_2rdamedia _acomputer |
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| 338 |
_2rdacarrier _aonline resource |
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| 500 | _3To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required). | ||
| 504 | _aIncludes references and index. | ||
| 505 | _aSection I: Data Warehouse Technology Chapter 1: Data Warehouse Technology Data Warehouse Design Using Process-Oriented Requirement Analysis Chapter 2: Identification of Categorical Registration Data of Domain Names in Data Warehouse Construction Task Chapter 3: Comparative Study of Data Warehouse Design Approaches Chapter 4: Using Metadata Analysis and Base Analysis Techniques in Data Qualities Framework for Data Warehouses Chapter 5: The Critical Factors Influencing the Adoptions of Data Warehouse Section II: Business-Oriented Data Warehouse Applications Chapter 6: Data Warehousing, Data Mining, OLAP and OLTP Technologies Chapter 7: A Data Warehouse Design for the Detection of Fraud in the Supply Chain by Using the Benford’s Law Chapter 8: Data Load Manifestation in Process Chains in Sap Business Warehouse Chapter 9: Big Data Usage in the Marketing Information System Section III: Bio-Medical Data Warehouse Use Cases Chapter 10: Building a Health Care Data Warehouse Chapter 11: Osteoporosis Data Warehouse in the Osteoporosis Community Health Information Management System Chapter 12: Integrative Genomic and Proteomic Data Warehouse Chapter 13: Truncatulix – A Data Warehouse for the Legume Community Chapter 14: Approaches to Access Biological Data Sources Section IV: Data Warehouse Applications in the Public Sector Chapter 15: Data Warehouse and the Deployment of Data Mining Process to Make Decision for Leishmaniasis in Marrakech City Chapter 16: Data Warehouse Technology and Application in Data Centre Design for E-Government Chapter 17: Data Warehouse Use Geographic Information System for Ornamentals Chapter 18: Gossip Management at Universities Using Big Data Warehouse Model Integrated with a Decision Support System | ||
| 520 | _aA database is an organized collection of data. It is the collection of schemas, tables, queries, reports, views and other objects. A data warehouse is a subject-oriented, integrated, timevariant and non-volatile collection of data in support of management’s decision making process. This book provides a comprehensive compilation of knowledge covering state-ofthe- art developments and research, as well as current innovative activities in data warehousing. | ||
| 541 |
_eEBOP00043 _n1 |
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| 546 | _3In English text. | ||
| 650 |
_aData warehousing. _94335 |
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| 650 |
_aDatabases. _9587 |
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| 650 |
_aDatabase management. _9310 |
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| 700 |
_aPehcevski, Jovan, editor. _94678 |
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| 856 | 4 | 0 |
_fBibliotex. _3Electronic Resources _zhttps://www.bibliotex.com/product/database-amp-data-warehousing-technologies50102581 |
| 942 |
_2lcc _cEB _hQA 76.9.D37 D38 2018 _kEBOP |
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| 999 |
_c1571 _d1571 |
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