Kimball`s data warehouse toolkit classics, 3 volume set, Kimball, Ralph Ross, Margy (kimball Group) Thornthwaite, Warren (menlo Park, Ca) Mundy, Joy (menlo Park, Ca) Becker, Bob (kimball Group) Caserta, Joe
Автор: Ralph Kimball Название: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 3rd Edition ISBN: 1118530802 ISBN-13(EAN): 9781118530801 Издательство: Wiley Рейтинг: Цена: 52800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This revised and updated edition of the bestseller provides a complete library of dimensional modeling techniques, the most comprehensive collection ever written.
Автор: Dan Linstedt Название: Building a Scalable Data Warehouse with Data Vault 2.0 ISBN: 0128025107 ISBN-13(EAN): 9780128025109 Издательство: Elsevier Science Рейтинг: Цена: 61750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
TheData Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures.
"Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss:
How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes.
Important data warehouse technologies and practices.
Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture.
Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast
Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse
Demystifies data vault modeling with beginning, intermediate, and advanced techniques
Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0
Автор: Inmon Bill, Puppini Francesco Название: The Unified Star Schema: An Agile and Resilient Approach to Data Warehouse and Analytics Design ISBN: 163462887X ISBN-13(EAN): 9781634628877 Издательство: Gazelle Book Services Рейтинг: Цена: 72910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Master the most agile and resilient design for building analytics applications: the Unified Star Schema (USS) approach. The USS has many benefits over traditional dimensional modeling. Witness the power of the USS as a single star schema that serves as a foundation for all present and future business requirements of your organization. Data warehouse legend Bill Inmon and data warehouse expert, Francesco Puppini, explain step-by-step, why the USS approach is the preferred approach for business intelligence designs today, and how to use this approach through many examples.This book contains two parts. Part I, Architecture, explains the benefits of data marts and data warehouses, covering how organizations progressed to their current state of analytics, and challenges that result from current business intelligence architectures. Chapter 1 covers the drivers behind and the characteristics of the data warehouse and data mart. Chapter 2 introduces dimensional modeling concepts, including fact tables, dimensions, star joins, and snowflakes. Chapter 3 recalls the evolution of the data mart. Chapter 4 explains Extract, Transform, and Load (ETL), and the value ETL brings to reporting. Chapter 5 explores the Integrated Data Mart Approach, and Chapter 6 explains how to monitor this environment. Chapter 7 describes the different types of metadata within the data warehouse environment. Chapter 8 progresses through the evolution to our current modern data warehouse environment. Part II, the Unified Star Schema, covers the Unified Star Schema (USS) approach and how it solves the challenges introduced in Part I. There are eight chapters within Part II: Chapter 9, Introduction to the Unified Star Schema: Learn about its achitecture and use cases, as well as how the USS approach differs from the traditional approach. Chapter 10, Loss of Data: Learn about the loss of data and the USS Bridge. Understand that the USS approach does not create any join, and for this reason, it has no loss of data. Chapter 11, The Fan Trap: Get introduced to the Oriented Data Model convention, and learn the dangers of a fan trap through an example. Differentiate join and association, and realize that an in-memory association is the preferred solution to the fan trap. Chapter 12, The Chasm Trap: Become familiar with the Cartesian product, and then follow along with an example based on LinkedIn, which illustrates that a chasm trap produces unwanted duplicates. See that the USS Bridge is based on a union, which does not create any duplicates. Chapter 13, Multi-Fact Queries: Distinguish between multiple facts with direct connection versus multiple facts with no direct connection. Explore how BI tools are capable of building aggregated virtual rows. Chapter 14, Loops: Learn more about loops and five traditional techniques to solve them. Follow along with an implementation, which will illustrate the solution based on the USS approach. Chapter 15, Non-Conformed Granularities: Learn about non-conformed granularities, and learn that the Unified Star Schema introduces a solution called re-normalization. Chapter 16, Northwind Case Study. Witness how easy it is to detect the pitfalls of Northwind using the ODM convention. Follow along with an implementation of the USS approach on the Northwind database with various BI tools.
Автор: Inmon, W.H. Название: Data Architecture: A Primer for the Data Scientist ISBN: 0128169168 ISBN-13(EAN): 9780128169162 Издательство: Elsevier Science Рейтинг: Цена: 61750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things.
Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
New case studies include expanded coverage of textual management and analytics
New chapters on visualization and big data
Discussion of new visualizations of the end-state architecture
Автор: Kimball Gustavus Sylvester Название: Kimball`s Business English: With Lessons on Business Letter Writing, Capitalization, and Punctuation (Classic Reprint) ISBN: 1330119487 ISBN-13(EAN): 9781330119488 Издательство: Неизвестно Цена: 9170.00 T Наличие на складе: Невозможна поставка. Описание: Excerpt from Kimball's Business English: With Lessons on Business Letter Writing, Capitalization, and Punctuation The design of this book is a thoroughly practical one. The au thor has endeavored to present in a simple and logical way the subjects which relate directly to the facts of our language, and to the laws of its structure. It recognizes the fact that our lan guage is not grammarless. We emphatically disagree with those who decry the teaching of grammar, and who even insist that the English language is devoid of grammar. Grammar is an ex cellent mental gymnastic. It is highly essential that, when teach ing a child to speak, the foundation be laid for the correct use of the English sentence. The great trouble has been with our young people, and many of the older ones, that they did not know when they had made a correct sentence. Every one who expects to write good English should master the elementary forms and principles of grammar, but this should be done in connection with composition and critical reading. Un fortunately, composition has been much neglected in our schools, and we are just beginning to realize the fact that such neglect is a grievous mistake. To supplement the ordinary composition work the author has introduced the subject of letter-writing, a most interesting and profitable study and one which furnishes ample material for this work. It is generally agreed that it is not an easy thing to write a good letter. However, it often becomes very simple when the pupil finds out just how it is done. A good composer, penman, and speller will make a fine letter-writer. Application and persistent efiort for a little time should qualify a person to be able to write fluently upon any business or social subject. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Автор: Ralph Kimball Название: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 2nd Edition ISBN: 0471200247 ISBN-13(EAN): 9780471200246 Издательство: Wiley Рейтинг: Цена: 47520.00 T 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.
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.
Автор: Hultgren Hans Название: Modeling the Agile Data Warehouse with Data Vault ISBN: 061572308X ISBN-13(EAN): 9780615723082 Издательство: Неизвестно Цена: 109200.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Barroso Luiz Andre, Holzle Urs, Ranganathan Parthasarathy Название: The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition ISBN: 1681734338 ISBN-13(EAN): 9781681734330 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 60990.00 T Наличие на складе: Поставка под заказ. Описание: This book describes warehouse-scale computers (WSCs), the computing platforms that power cloud computing and all the great web services we use every day. It discusses how these new systems treat the datacenter itself as one massive computer designed at warehouse scale, with hardware and software working in concert to deliver good levels of internet service performance. The book details the architecture of WSCs and covers the main factors influencing their design, operation, and cost structure, and the characteristics of their software base. Each chapter contains multiple real-world examples, including detailed case studies and previously unpublished details of the infrastructure used to power Google's online services. Targeted at the architects and programmers of today's WSCs, this book provides a great foundation for those looking to innovate in this fascinating and important area, but the material will also be broadly interesting to those who just want to understand the infrastructure powering the internet.The third edition reflects four years of advancements since the previous edition and nearly doubles the number of pictures and figures. New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime. Further discussions of emerging trends and opportunities ensure that this revised edition will remain an essential resource for educators and professionals working on the next generation of WSCs.
Автор: Wolfgang Behme; Harry Mucksch Название: Data Warehouse-gest?tzte Anwendungen ISBN: 3409116591 ISBN-13(EAN): 9783409116596 Издательство: Springer Рейтинг: Цена: 39180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In Ergдnzung zu ihrem bereits in der 4. Auflage erscheinenden Buch zum Data Warehouse-Konzept widmen sich die Autoren hier ganz der Beschreibung verschiedener Anwendungsmцglichkeiten. Der Nutzen eines Data Warehouses entsteht nicht in erster Linie durch die Speicherung, sondern vielmehr erst durch die zielgerichtete Aufarbeitung und Analyse der Informationen. Dieses fьhrt zu einer Fьlle von Einsatzmцglichkeiten (wie z.B. Balanced Scorecards oder Data Mining-Auswertungen zur Vorhersage von Gasverbrдuchen), die fьr Unternehmen gewinnbringend genutzt werden kцnnen.
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