Advanced Data Warehouse Design
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Advanced Data Warehouse Design
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Author : Elzbieta Malinowski
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-22
Advanced Data Warehouse Design written by Elzbieta Malinowski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-22 with Computers categories.
This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimányi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.
Data Warehouse Systems
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Author : Alejandro Vaisman
language : en
Publisher: Springer Nature
Release Date : 2022-07-15
Data Warehouse Systems written by Alejandro Vaisman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-15 with Computers categories.
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. “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.
Data Warehouse Design Modern Principles And Methodologies
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Author : Matteo Golfarelli
language : en
Publisher: McGraw Hill Professional
Release Date : 2009-05-26
Data Warehouse Design Modern Principles And Methodologies written by Matteo Golfarelli and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-26 with Computers categories.
Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy "A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners." Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University
Emerging Trends In Advanced Science
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Author : S. Rama Reddy
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2014-08-28
Emerging Trends In Advanced Science written by S. Rama Reddy and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-28 with Technology & Engineering categories.
Selected, peer reviewed papers from the International Conference on Emerging Trends in Science, Engineering and Technology (ICETSET-2014), April 18-19, 2014, Chennai, India
Data Warehouse Design Modern Principles And Methodologies
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Author : Matteo Golfarelli
language : en
Publisher: McGraw Hill Professional
Release Date : 2009-03-03
Data Warehouse Design Modern Principles And Methodologies written by Matteo Golfarelli and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-03 with Computers categories.
Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy "A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners." Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University
Building The Data Warehouse
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Author : W. H. Inmon
language : en
Publisher:
Release Date : 2005
Building The Data Warehouse written by W. H. Inmon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which have been pioneered by Inmon himself In addition to explaining the fundamentals of data warehouse systems, the book covers new topics such as methods for handling unstructured data in a data warehouse and storing data across multiple storage media Discusses the pros and cons of relational versus multidimensional design and how to measure return on investment in planning data warehouse projects Covers advanced topics, including data monitoring and testing Although the book includes an extra 100 pages worth of valuable content, the price has actually been reduced from $65 to $55
Advanced Manufacturing And Information Engineering Intelligent Instrumentation And Industry Development
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Author : J.Z. Ma
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2014-08-11
Advanced Manufacturing And Information Engineering Intelligent Instrumentation And Industry Development written by J.Z. Ma and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-11 with Technology & Engineering categories.
Selected, peer reviewed papers from the 2014 2nd International Conference on Precision Mechanical Instruments and Measurement Technology (ICPMIMT 2014), May 30-31, 2014, Chongqing, China
Data Mapping For Data Warehouse Design
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Author : Qamar Shahbaz
language : en
Publisher: Elsevier
Release Date : 2015-12-08
Data Mapping For Data Warehouse Design written by Qamar Shahbaz and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-08 with Computers categories.
Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle. - Covers all stages of data warehousing and the role of data mapping in each - Includes a data mapping strategy and techniques that can be applied to many situations - Based on the author's years of real-world experience designing solutions
Advanced Information And Computer Technology In Engineering And Manufacturing Environmental Engineering
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Author : M.L. Li
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2013-09-04
Advanced Information And Computer Technology In Engineering And Manufacturing Environmental Engineering written by M.L. Li and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-04 with Technology & Engineering categories.
Selected, peer reviewed papers from the 2013 International Conference on Advances in Materials Science and Manufacturing Technology (AMSMT 2013), May 18-19, 2013, Xiamen, Fujian, China
Data Warehousing And Analytics
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Author : David Taniar
language : en
Publisher: Springer Nature
Release Date : 2022-02-04
Data Warehousing And Analytics written by David Taniar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Computers categories.
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.