Univerza v Novem mestu (VSUPNM)
  • Data warehouse systems : design and implementation
    Vaisman, Alejandro ; Zimányi, Esteban
    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 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 NewSQL database 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. --> Na ov, zadaj
    Vrsta gradiva - knjiga ; neleposlovje za odrasle
    Izdaja - 2nd ed.
    Založništvo in izdelava - Berlin : Springer, 2022, cop. 2014
    Jezik - angleški
    ISBN - 978-3-662-65166-7; 978-3-662-65167-4
    COBISS.SI-ID - 174468867

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Univerza v Novem mestu
prosto - na dom, čas izposoje: 1 mes.
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Fakulteta za ekonomijo in informatiko
0000000004 VAISMAN ALEJANDRO Data warehouse
IN: 000013030
Fakulteta za ekonomijo in informatiko
004 VAISMAN ALEJANDRO Data warehouse
IN: 000013030
prosto - na dom, čas izposoje: 1 mes.
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