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Building a data warehouse, Rainardi, Vincent
Building a data warehouse

Автор: Rainardi, Vincent
Название:  Building a data warehouse
Издательство: Springer
Классификация:
Базы данных

ISBN: 1590599314
ISBN-13(EAN): 9781590599310
ISBN: 1-59059-931-4
ISBN-13(EAN): 978-1-59059-931-0
Обложка/Формат: Hardback
Страницы: 523
Вес: 1.134 кг.
Дата издания: 24.12.2007
Язык: ENG
Иллюстрации: Illustrations
Размер: 24.13 x 18.59 x 3.38 cm
Читательская аудитория: General (us: trade)
Подзаголовок: With examples in sql server
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Here is the ideal field guide for data warehousing implementation. It describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Includes code that will save companies hundreds of hours of development time.
Описание: "Building a Data Warehouse: With Examples in SQL Server" describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Rainardi also describes some practical issues that developers are likely to encounter in their first data warehousing project, along with solutions and advice.
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  Новое издание
Building a Data Warehouse

Автор: Vincent Rainardi
Название: Building a Data Warehouse
ISBN: 143024299X ISBN-13(EAN): 9781430242994
Издательство: Springer
Цена: 3603 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.

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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 3rd Edition

Автор: Kimball
Название: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 3rd Edition
ISBN: 1118530802 ISBN-13(EAN): 9781118530801
Издательство: Wiley
Рейтинг:
Цена: 4400 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the foundation on which the data warehousing industry has been built - and now, these books are considered the most authoritative guides on dimensional modeling. This new third edition is a complete library of dimensional modeling techniques, the most comprehensive collection ever. Revised and updated, it covers design techniques that support big data analytics, adds a new chapter on ETL techniques, provides new and enhanced modeling patterns, and much more. Authored by Ralph Kimball, known worldwide as an innovator, consultant, and influential thought leader in the field of data warehousing Begins with fundamental design recommendations and progresses step by step through increasingly complex scenarios Presents unique modeling techniques for e-commerce and common business applications such as inventory management, procurement, invoicing, accounting, and more Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, health care, and insurance Design dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 3rd Edition.

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Building and Maintaining a Data Warehouse

Автор: Silvers
Название: Building and Maintaining a Data Warehouse
ISBN: 1420064622 ISBN-13(EAN): 9781420064629
Издательство: Taylor&Francis
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Цена: 5983 р.
Наличие на складе: Поставка под заказ.

Описание: Based on a foundation of industry-accepted principles, Building and Maintaininga Data Warehouse provides an easy-to-follow approach that is cohesive and holistic. By offering the perspective of a successful data warehouse, as well as that of a failed one, the author details those factors that must be accomplished and those that are best avoided. He looks at areas of a data warehouse individually and in sequence, showing how each piece becomes a working part of the whole. He examines the concepts and principles common to every successful data warehouse, and also explains how to recognize and attend to problematic gaps in an established data warehouse

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Decision Support And Data Warehouse Systems

Автор: Mallach
Название: Decision Support And Data Warehouse Systems
ISBN: 0071163565 ISBN-13(EAN): 9780071163569
Издательство: McGraw-Hill
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Цена: 3695 р.
Наличие на складе: Поставка под заказ.

Описание: Ties the traditional view of decision support to the topics of database management and data warehouse. This book provides a foundation for the use of models within the context of building and using decision support systems, and focuses on multi-dimensional databases and client/server computing.

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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 2nd Edition

Автор: Ralph Kimball
Название: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 2nd Edition
ISBN: 0471200247 ISBN-13(EAN): 9780471200246
Издательство: Wiley
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Цена: 3960 р.
Наличие на складе: Поставка под заказ.

Описание: Single most authoritative guide from the inventor of the technique. Presents unique modeling techniques for e-commerce, and shows strategies for optimizing performance. Companion Web site provides updates on dimensional modeling techniques, links related to sites, and source code where appropriate.

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Data warehouse design: modern principles and methodologies

Автор: Golfarelli, Mattaeo Rizzi, Stefano
Название: Data warehouse design: modern principles and methodologies
ISBN: 0071610391 ISBN-13(EAN): 9780071610391
Издательство: McGraw-Hill
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Цена: 2903 р.
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Mastering data warehouse aggregates

Автор: Adamson, Christopher
Название: Mastering data warehouse aggregates
ISBN: 0471777099 ISBN-13(EAN): 9780471777090
Издательство: Wiley
Рейтинг:
Цена: 4620 р.
Наличие на складе: Поставка под заказ.

Описание: Addresses how aggregates are the single-most effective tool the data warehouse designers have to control performance.

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The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights

Автор: LaBerge Robert
Название: The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights
ISBN: 0071745327 ISBN-13(EAN): 9780071745321
Издательство: McGraw-Hill
Рейтинг:
Цена: 3431 р.
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Описание: Proven strategies for implementing the right data warehouse and business intelligence solutions for current and future business needs

In "The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights," business intelligence and data warehousing expert Robert Laberge explains the components and different alternatives in building a data warehouse and describes pros and cons for choosing one path over another. Building a data warehouse is unique for each organization but can be guided by the author's years of knowledge obtained from working on many differing data warehouse and business intelligence environments in organizations around the world.

The book covers practical and technical aspects of current data warehouse and business intelligence issues with views on realistic solutions within the management and technical arenas. Data warehousing topics are first presented from a high-level overview to ensure the terminology and context is understood, and are then covered in deeper detail to clarify the specifics. These topics all pertain to data warehousing, business intelligence, and performance management.

"The Data Warehouse Mentor" Explains the proper implementation of the many available technologies and practices Shares the author's nearly 30 years of data warehouse and business intelligence experience in more than 20 countries worldwide Mentors you to success in determining and deploying the most effective data warehouse and business intelligence solutions for your business Helps you anticipate future data requirements and usage to ensure the design and build environment for your solution is flexible and open to change

Complete coverage:
Data Warehouse and Business Intelligence Overview; Data in the Organization; Reasons for Building; Business Intelligence and Data Warehouse Strategy - The Plan; Project Resources - Roles and Insights; Write it Up - Overview; Business Intelligence: Data Marts & Usage; Enterprise Data Models; Data Warehouse Architecture; ETL and Data Quality; Project Planning; Working Scenarios - Hands On; Data Governance; Post Project Review

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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: 3740 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Best practices and invaluable advice from world-renowned data warehouse experts In this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming Business Intelligence release of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most organizations. Covering the complete suite of data warehousing and BI tools that are part of SQL Server 2008 R2, as well as Microsoft Office, the authors walk you through a full project lifecycle, including design, development, deployment and maintenance. Features more than 50 percent new and revised material that covers the rich new feature set of the SQL Server 2008 R2 release, as well as the Office 2010 release Includes brand new content that focuses on PowerPivot for Excel and SharePoint, Master Data Services, and discusses updated capabilities of SQL Server Analysis, Integration, and Reporting Services Shares detailed case examples that clearly illustrate how to best apply the techniques described in the book The accompanying Web site contains all code samples as well as the sample database used throughout the case studies The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis Services and Integration Services to accomplish your most essential data warehousing tasks.

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Information-Statistical Data Mining / Warehouse Integration with Examples of Oracle Basics

Автор: Sy Bon K., Gupta A.K.
Название: Information-Statistical Data Mining / Warehouse Integration with Examples of Oracle Basics
ISBN: 1402076509 ISBN-13(EAN): 9781402076503
Издательство: Springer
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Цена: 12952 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: As computer technology becomes more powerful, it becomes possible to collect data at a level, by size and the level of extent that could not even be imagined just a few years ago. At the same time, it also offers a growing possibility of discovering intelligence from data through statistical techniques cornered as Exploratory Data Analysis (EDA). While EDA evolves to play a major role in the field of data mining, treatment for temporal spatial data remains a challenge. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics will address this issue. This book will also attempt to address this issue through a framework that may allow us to answer at least partially, the following two important questions. First, how do we gain insights into understanding the intelligence behind the valuable information that data mining offers? More specifically, how do we interpret and evaluate the quality of information resulting from an EDA that is typically oriented around statistical techniques. Overall, 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. This book is unique because it is one of the few in the forefront that attempts to bridge statistics and information theory through a concept of patterns. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

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Web Data Management / A Warehouse Approach

Автор: Bhowmick Sourav S., Madria Sanjay K., Ng Wee K.
Название: Web Data Management / A Warehouse Approach
ISBN: 0387001751 ISBN-13(EAN): 9780387001753
Издательство: Springer
Цена: 5617 р.
Наличие на складе: Нет в наличии.

Описание: Existence of huge amounts of data on the Web has developed an undeferring need to locate right information at right time, as well as to integrating information effectively to provide a comprehensive source of relevant information. There is a need to develop efficient tools for analyzing and managing Web data, and efficiently managing Web information from the database perspective. The book proposes a data model called WHOM (Warehouse Object Model) to represent HTML and XML documents in the warehouse. It defines a set of web algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. These algebraic operators are used for change detection.

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Advanced Data Warehouse Design

Автор: Malinowski
Название: Advanced Data Warehouse Design
ISBN: 3540744045 ISBN-13(EAN): 9783540744047
Издательство: Springer
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Цена: 8084 р.
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Описание: A data warehouse stores large volumes of historical data required for analytical purposes. This work explains in detail conventional data warehouse design, covering in particular complex hierarchy modeling. It covers different phases of the design process, such as requirements specification, conceptual, logical and physical design.

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Fundamentals of Data Warehouses

Автор: Jarke
Название: Fundamentals of Data Warehouses
ISBN: 3540420894 ISBN-13(EAN): 9783540420897
Издательство: Springer
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Цена: 5389 р.
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Описание: This text presents a comparative review of the state of the art and best practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization.

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