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020 _a9783662651674
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024 7 _a10.1007/978-3-662-65167-4
_2doi
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072 7 _aUN
_2bicssc
072 7 _aCOM021000
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072 7 _aUN
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082 0 4 _a005.74
_223
100 1 _aVaisman, Alejandro.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aData Warehouse Systems
_h[electronic resource] :
_bDesign and Implementation /
_cby Alejandro Vaisman, Esteban Zimányi.
250 _a2nd ed. 2022.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2022.
300 _aXXVI, 696 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aData-Centric Systems and Applications,
_x2197-974X
505 0 _aPart I: Fundamental Concepts -- 1. Introduction -- 2. Database Concepts -- 3. Data Warehouse Concepts -- 4. Conceptual Data Warehouse Design -- 5. Logical Data Warehouse Design -- 6. Data Analysis in Data Warehouses -- 7. Data Analysis in the Northwind Data Warehouse -- Part II: Implementation and Deployment -- 9. Physical Data Warehouse Design -- 9. Extraction, Transformation, and Loading -- 10. A Method for Data Warehouse Design -- Part III: Advanced Topics -- 11. Temporal and Multiversion Data Warehouses -- 12. Spatial and Mobility Data Warehouses -- 13. Graph Data Warehouses -- 14. Semantic Web Data Warehouses -- 15. Recent Developments in Big Data Warehouses.
520 _aWith 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 conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details “Implementation and Deployment,” including physical design, ETL and data warehouse design methodologies. Part III covers “Advanced Topics” and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQLdatabase systems, and data lakes in the context of analytical data processing. 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 Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes 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. “I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.” From the foreword by Panos Vassiliadis, University of Ioannina, Greece.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval systems.
650 0 _aInformation technology
_xManagement.
650 1 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aBusiness IT Infrastructure.
650 2 4 _aComputer Application in Administrative Data Processing.
700 1 _aZimányi, Esteban.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662651667
776 0 8 _iPrinted edition:
_z9783662651681
776 0 8 _iPrinted edition:
_z9783662651698
830 0 _aData-Centric Systems and Applications,
_x2197-974X
856 4 0 _uhttps://doi.org/10.1007/978-3-662-65167-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
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