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Data warehouse systems, Vaisman, Alejandro Zimanyi, Esteban


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Автор: Vaisman, Alejandro Zimanyi, Esteban
Название:  Data warehouse systems
ISBN: 9783662651667
Издательство: Springer
Классификация:


ISBN-10: 3662651661
Обложка/Формат: Hardback
Страницы: 696
Вес: 1.24 кг.
Дата издания: 22.08.2022
Серия: Data-centric systems and applications
Язык: English
Издание: 2nd ed. 2022
Иллюстрации: Xxvi, 696 p.
Размер: 163 x 242 x 50
Читательская аудитория: Professional & vocational
Подзаголовок: Fully worked solutions to over 800 bmat practice questions, alongside time saving techniques, score boosting strategies, and 12 annotated essays. uniadmissions guide for the biomedical admissions test
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: With this textbook, Vaisman and Zim?nyi 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.
Дополнительное описание: Part 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 Ware


Data Warehouse Requirements Engineering

Автор: Naveen Prakash; Deepika Prakash
Название: Data Warehouse Requirements Engineering
ISBN: 9811070180 ISBN-13(EAN): 9789811070181
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the first to focus on the issue of Data Warehouse Requirements Engineering, this book introduces a model-driven requirements process used to identify requirements granules and incrementally develop data warehouse fragments. In addition, it presents an approach to the pair-wise integration of requirements granules for consolidating multiple data warehouse fragments. The process is systematic and does away with the fuzziness associated with existing techniques. Thus, consolidation is treated as a requirements engineering issue.The notion of a decision occupies a central position in the decision-based approach. On one hand, information relevant to a decision must be elicited from stakeholders; modeled; and transformed into multi-dimensional form. On the other, decisions themselves are to be obtained from decision applications. For the former, the authors introduce a suite of information elicitation techniques specific to data warehousing. This information is subsequently converted into multi-dimensional form. For the latter, not only are decisions obtained from decision applications for managing operational businesses, but also from applications for formulating business policies and for defining rules for enforcing policies, respectively. In this context, the book presents a broad range of models, tools and techniques. For readers from academia, the book identifies the scientific/technological problems it addresses and provides cogent arguments for the proposed solutions; for readers from industry, it presents an approach for ensuring that the product meets its requirements while ensuring low lead times in delivery.    

Building the Data Warehouse, 4th Edition

Автор: W. H. Inmon
Название: Building the Data Warehouse, 4th Edition
ISBN: 0764599445 ISBN-13(EAN): 9780764599446
Издательство: Wiley
Рейтинг:
Цена: 39070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explains the fundamentals of data warehouse systems. This book covers topics such as methods for handling unstructured data in a data warehouse and storing data across multiple storage media, and discusses the pros and cons of relational versus multidimensional design, and how to measure return on investment in planning data warehouse projects.

Big Data Imperatives: Enterprise `big Data` Warehouse, `BI`

Автор: Mohanty S
Название: Big Data Imperatives: Enterprise `big Data` Warehouse, `BI`
ISBN: 1430248726 ISBN-13(EAN): 9781430248729
Издательство: Springer
Рейтинг:
Цена: 35360.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

  1. The New Information Management Paradigm
  2. Big Data's Implication for Businesses
  3. Big Data Implications for Information Management
  4. Defining Big Data Architecture Characteristics
  5. Co-Existent Architectures
  6. Data Quality for Big Data
  7. Data Security and Privacy Considerations for Big Data
  8. Big Data and Analytics
  9. Big Data Implications for Practitioners


Information-Statistical Data Mining

Автор: Bon K. Sy; Arjun K. Gupta
Название: Information-Statistical Data Mining
ISBN: 1461347556 ISBN-13(EAN): 9781461347552
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA.

Beginning Azure Synapse Analytics: Transition from Data Warehouse to Data Lakehouse

Автор: Shiyal Bhadresh
Название: Beginning Azure Synapse Analytics: Transition from Data Warehouse to Data Lakehouse
ISBN: 1484270606 ISBN-13(EAN): 9781484270608
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Beginning user level

Advanced Data Warehouse Design

Автор: Elzbieta Malinowski; Esteban Zim?nyi
Название: Advanced Data Warehouse Design
ISBN: 3642093833 ISBN-13(EAN): 9783642093838
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

The Textual Warehouse

Автор: Inmon Bill, Srivastava Ranjeet
Название: The Textual Warehouse
ISBN: 163462954X ISBN-13(EAN): 9781634629546
Издательство: Gazelle Book Services
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Цена: 22950.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Build a Textual Warehouse to help your organization understand and analyze documents through text analytics (both sentiment and non-sentiment analysis), to make better business decisions.

Learn the important role of documents and text within your organization, the difference between identifying and qualifying text, and when you need document preprocessing. Appreciate the power of taxonomies and the necessity of textual ETL. Know how the textual warehouse architecture differs from the conventional data warehouse architecture and when to apply contextualization and textual disambiguation.


About Bill

Bill Inmon, the "father of the data warehouse," has written 60 books published in nine languages. ComputerWorld named Bill one of the ten most influential people in the history of the computer profession. Bill's latest adventure is the building of technology known as textual disambiguation.


About Ranjeet

Ranjeet Srivastava is a data management professional and an enterprise architect with more than 20 years in enterprise product research, development, and design of data-intensive mission-critical applications.




The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset

Автор: Mundy Joy, Thornthwaite Warren, Kimball Ralph
Название: The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset
ISBN: 0470640383 ISBN-13(EAN): 9780470640388
Издательство: Wiley
Рейтинг:
Цена: 40120.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The techniques pioneered by the Kimball Group have become the industry standard for data warehouse design, development, and management. In this new edition of the Microsoft Data Warehouse Toolkit, the authors share best practices for using these techniques in SQL Server 2008 R2 and Office 2010.

Data Warehouse Requirements Engineering

Автор: Naveen Prakash; Deepika Prakash
Название: Data Warehouse Requirements Engineering
ISBN: 9811349878 ISBN-13(EAN): 9789811349874
Издательство: Springer
Рейтинг:
Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the first to focus on the issue of Data Warehouse Requirements Engineering, this book introduces a model-driven requirements process used to identify requirements granules and incrementally develop data warehouse fragments. In addition, it presents an approach to the pair-wise integration of requirements granules for consolidating multiple data warehouse fragments. The process is systematic and does away with the fuzziness associated with existing techniques. Thus, consolidation is treated as a requirements engineering issue.The notion of a decision occupies a central position in the decision-based approach. On one hand, information relevant to a decision must be elicited from stakeholders; modeled; and transformed into multi-dimensional form. On the other, decisions themselves are to be obtained from decision applications. For the former, the authors introduce a suite of information elicitation techniques specific to data warehousing. This information is subsequently converted into multi-dimensional form. For the latter, not only are decisions obtained from decision applications for managing operational businesses, but also from applications for formulating business policies and for defining rules for enforcing policies, respectively. In this context, the book presents a broad range of models, tools and techniques. For readers from academia, the book identifies the scientific/technological problems it addresses and provides cogent arguments for the proposed solutions; for readers from industry, it presents an approach for ensuring that the product meets its requirements while ensuring low lead times in delivery.    

Der Data-Warehouse-Rahmenplan

Автор: Katharina Wirtz
Название: Der Data-Warehouse-Rahmenplan
ISBN: 3824476215 ISBN-13(EAN): 9783824476213
Издательство: Springer
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Цена: 65290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Katharina Wirtz untersucht wie, ausgehend von den Daten der operativen Systeme und dem Informationsbedarf der Entscheidungstr ger, eine bersichtliche Anordnung der Daten in einem Data-Warehouse erzielt werden kann.


Data Warehouse Designs

Автор: Silvers, Fon
Название: Data Warehouse Designs
ISBN: 1138374571 ISBN-13(EAN): 9781138374577
Издательство: Taylor&Francis
Рейтинг:
Цена: 56130.00 T
Наличие на складе: Поставка под заказ.
Описание: This book presents two data warehouse solutions that deliver significant ROI; market basket analysis, approached as a database design issue rather than a data model issue; and time variance or temporal data, which present past events in their historical context. The former is available to any enterprise with a data warehouse, while the latter provides a simple design that accommodates large data volumes. The text combines these two database designs into one design, which performs market basket analysis of transactions in their historical context.

Data Warehouse Systems

Автор: Alejandro Vaisman; Esteban Zim?nyi
Название: Data Warehouse Systems
ISBN: 3662513501 ISBN-13(EAN): 9783662513507
Издательство: Springer
Рейтинг:
Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book delivers extensive coverage of data warehousing and business intelligence technologies, from basic principles to recent applications. It illustrates how all concepts can be implemented using Microsoft Analysis Services and Pentaho Business Analytics.


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