05074nam 22007095 450 991029898800332120200707014458.03-642-54655-210.1007/978-3-642-54655-6(CKB)3390000000064209(SSID)ssj0001353817(PQKBManifestationID)11895982(PQKBTitleCode)TC0001353817(PQKBWorkID)11316941(PQKB)10326256(DE-He213)978-3-642-54655-6(MiAaPQ)EBC5594704(PPN)181353539(EXLCZ)99339000000006420920140910d2014 u| 0engurnn#008mamaatxtccrData Warehouse Systems[electronic resource] Design and Implementation /by Alejandro Vaisman, Esteban Zimányi1st ed. 2014.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2014.1 online resource (XVI, 625 p. 133 illus.)Data-Centric Systems and Applications,2197-9723Bibliographic Level Mode of Issuance: Monograph3-642-54654-4 Includes bibliographical references and index.Part I Fundamental Concepts -- 1 Introduction -- 2 Database Concepts -- 3 Data Warehouse Concepts -- 4 Conceptual Data Warehouse Design -- 5 Logical Data Warehouse Design -- 6 Querying Data Warehouses -- Part II Implementation and Deployment -- 7 Physical Data Warehouse Design -- 8 Extraction, Transformation and Loading -- 9 Data Analytics: Exploiting the Data Warehouse -- 10 A Method for Data Warehouse Design -- Part III Advanced Topics -- 11 Spatial Data Warehouses -- 12 Trajectory Data Warehouses -- 13 New Data Warehouse Technologies -- 14 Data Warehouses and the Semantic Web -- 15 Conclusion.With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including multi-dimensional models; conceptual and logical data warehouse design; and MDX and SQL/OLAP. Subsequently, Part II details “Implementation and Deployment,” which includes physical data warehouse design; data extraction, transformation, and loading (ETL); and data analytics. Lastly, Part III covers “Advanced Topics” such as spatial data warehouses; trajectory data warehouses; semantic technologies in data warehouses; and novel technologies like MapReduce, column-store databases, and in-memory databases. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Pentaho Business Analytics. All chapters are summarized using review questions and exercises to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available at http://cs.ulb.ac.be/DWSDIbook/, including electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style.Data-Centric Systems and Applications,2197-9723Database managementInformation storage and retrievalManagement information systemsApplication softwareDatabase Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Business IT Infrastructurehttps://scigraph.springernature.com/ontologies/product-market-codes/522040Computer Appl. in Administrative Data Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/I2301XDatabase management.Information storage and retrieval.Management information systems.Application software.Database Management.Information Storage and Retrieval.Business IT Infrastructure.Computer Appl. in Administrative Data Processing.658.40380285574Vaisman Alejandroauthttp://id.loc.gov/vocabulary/relators/aut859921Zimányi Estebanauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910298988003321Data Warehouse Systems1918835UNINA