Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.
Описание: A guide that shows you how a revolutionary new approach to dimensional modeling invented by the author can be used throughout the data warehouse analysis and design phases to improve communication between IT and business users - and consequently - produce better results.
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.
Автор: Inmon, W. H. Krishnan, Krish Название: Building the unstructured data warehouse ISBN: 1935504045 ISBN-13(EAN): 9781935504047 Издательство: Неизвестно Рейтинг: Цена: 5142 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book prepares you to successfully implement an unstructured data warehouse, and helps you learn various techniques and tips to successfully obtain and analyse text.
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
Автор: W. H. Inmon Название: Building the Data Warehouse, 4th Edition ISBN: 0764599445 ISBN-13(EAN): 9780764599446 Издательство: Wiley Рейтинг: Цена: 4041 р. 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.
Автор: Rainardi, Vincent Название: Building a data warehouse ISBN: 1590599314 ISBN-13(EAN): 9781590599310 Издательство: Springer Рейтинг: Цена: 6301 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: The first book to apply the modern principles of software engineering to building data warehouses
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: 7623 р. Наличие на складе: Поставка под заказ.
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.
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.
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.
Автор: Malinowski Название: Advanced Data Warehouse Design ISBN: 3540744045 ISBN-13(EAN): 9783540744047 Издательство: Springer Рейтинг: Цена: 10971 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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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