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In den WarenkorbZustand: NEW.
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030819787 ISBN 13: 9783030819781
Anbieter: moluna, Greven, Deutschland
Zustand: New. This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, .
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2022
ISBN 10: 3030819787 ISBN 13: 9783030819781
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In den WarenkorbPaperback. Zustand: Brand New. 453 pages. 9.25x6.10x1.32 inches. In Stock.
Taschenbuch. Zustand: Neu. Data Warehousing and Analytics | Fueling the Data Engine | David Taniar (u. a.) | Taschenbuch | Data-Centric Systems and Applications | xviii | Englisch | 2022 | Springer | EAN 9783030819781 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge.The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics).This textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.