000			a
999			_c33373 _d33373
008			241120b xxu||||| |||| 00| 0 eng d
020			_a9783662651698
082			_a005.745 _bVAI
100			_aVaisman, Alejandro
245			_aData warehouse systems : design and implementation
250			_a2nd ed.
260			_bSpringer, _c2022 _aBerlin :
300			_axxvi,696 p. ; _bill., _c24 cm.
365			_b4623.00 _c₹ _d01
504			_aIncludes bibliographical references and index.
520			_aThe authors deliver coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. Their work is structured into three parts: Fundamental Concepts: including multi-dimensional models, conceptual and logical data warehouse design, and MDX and SQL/OLAP; Implementation and Deployment: includeing physical data warehouse design, data extraction, transformation, and loading (ETL), and data analytics; Advanced Topics: including spatial data warehouses, trajectory data warehouses, semantic technologies in data warehouses, and novel technologies like MapReduce, column-store databases, and in-memory databases. Concepts are illustrated by an on going example based on the North wind database using Microsoft Analysis Services and Pentaho Business Analytics.
650			_aData Processing
650			_aBusiness intelligence
650			_aConceptual modeling
650			_aData analytics
650			_aData warehouses
650			_aIn-memory databases
650			_aOnline analytical processing
650			_aSpatial-temporal systems
700			_aZimányi, Esteban
942			_2ddc _cBK