000			01840cam a22002535a 4500
001			16591229
005			20160828135401.0
008			101227t2011 maua frb 001 0 eng d
020			_a9780123851260 (pbk.)
040			_aDLC _beng _cDLC _dDLC _dEG-ScBUE
082	0	4	_a005.73 _bTUP _222
100	1		_aTupper, Charles D. _938413
245	1	0	_aData architecture : _bfrom zen to reality / _cCharles D. Tupper.
260			_aBurlington : _bMorgan Kaufmann / Elsevier, _cc.2011.
300			_axxiv, 417 p. : _bill. ; _c24 cm.
500			_aIndex : p. 401-417.
504			_aIncludes bibliographical references.
505	8		_aMachine generated contents note: Preface Foreword Section One: The Principles 1: Understanding Architectural Principles 2: Enterprise Architecture Frameworks and Methodologies 3. Enterprise Level Data Architecture Practices 4: Understanding Development Methodologies Section Two: The Problem 5: Business Evolution 6 Business Organizations 7. Productivity inside the Data Organization 8. Solutions That Cause Problems Section Three: The Process 9. Data Organization Practices 10. Models and Model Repositories 11. Model Constructs and Model Types 12. Time as a Dimension of the Database 13. Concepts of Clustering, Indexing and Structures Section Four: The Product 14. Basic Requirements for Physical Design 15. Physical Database Considerations 16. Interpretation of Models Section Five: Specialized Databases 17. Data Warehouses I 18. Data Warehouses II 19. Dimensional Warehouses from Enterprise Models 20. The Enterprise Data Warehouse 21. Object and Object/Relational Databases: 22. Distributed Databases.
650		7	_aData structures (Computer science) _2BUEsh _912448
651			_2BUEsh
653			_bCOMSCI _cJune2015 _cSeptember2015
650		7	_929417 _aSoftware architecture _2BUEsh
942			_2ddc _k005.73 TUP
999			_c19824 _d19796