000			01913nam a22003017i 4500
005			20251030135902.0
007			t|
008			230503s2016 ||||| |||| 00| 0 spa d
020			_a9780128025109
040			_aCO-ViULL _erda _bspa
041			_heng
082	0		_223 _a005.745 _bL759
100	1		_aLinstedt, Daniel _9160758, _eautor. _4aut
245	1	0	_aBuilding a scalable data warehouse with Data Vault 2.0.
264		1	_aUSA : _bMorgan Kaufmann, Elsevier, _c2016.
300			_a661 páginas : _b: figuras ; tables.
336			_atexto _btxt _2rdacontent
337			_asin mediación _bn _2rdamedia
338			_avolumen _bnc _2rdacarrier
500			_aTable of contents.
505	8		_aChapter 1: Introduction to Data Warehousing. -- Chapter 2: Scalable Data Warehouse Architecture. -- Chapter 3: The Data Vault 2.0 Methodology. -- Chapter 4: Data Vault 2.0 Modeling. -- Chapter 5: Intermediate Data Vault Modeling. -- Chapter 6: Advanced Data Vault Modeling. -- Chapter 7: Dimensional Modeling. -- Chapter 8: Physical Data Warehouse Design. -- Chapter 9: Master Data Management. -- Chapter 10: Metadata Management. -- Chapter 11: Data Extraction. -- Chapter 12: Loading the Data Vault. -- Chapter 13: Implementing Data Quality. -- Chapter 14: Loading the Dimensional Information Mart. -- Chapter 15: Multidimensional Database
520			_aThe Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures.
650		0	_aData warehousing _9160759.
650		0	_aTransaction processing systems _9160760.
650		0	_aDatabase design _9160761.
700	1		_aOlschimke, Michael _9160762.
942			_2ddc _cBK
999			_c47466 _d47466