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: 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:
The New Information Management Paradigm
Big Data's Implication for Businesses
Big Data Implications for Information Management
Defining Big Data Architecture Characteristics
Co-Existent Architectures
Data Quality for Big Data
Data Security and Privacy Considerations for Big Data
Big Data and Analytics
Big Data Implications for Practitioners
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: 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.
Автор: Griesemer, Bob Название: Oracle warehouse builder 11g r2 ISBN: 1849683441 ISBN-13(EAN): 9781849683449 Издательство: Неизвестно Рейтинг: Цена: 74780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Extract, Transform, and Load data to build a dynamic, operational data warehouse with Oracle Warehouse Builder 11g R2 with this book and eBook
Key Features
Build a working data warehouse from scratch with Oracle Warehouse Builder
Cover techniques in Extracting, Transforming, and Loading data into your data warehouse
Use a multi-dimensional design with an underlying relational star schema
This second edition covers great new features of 11gR2 such as the new user interface and a whole new chapter on code templates that implement knowledge module functionality from Oracle Data Integrator
Book Description
In today's economy, businesses and IT professionals cannot afford to lag behind the latest technologies. Data warehousing is a critical area to the success of many enterprises, and Oracle Warehouse Builder is a powerful tool for building data warehouses. It comes free with the latest version of the Oracle database.
Written in an accessible, informative, and focused manner, this book will teach you to use Oracle Warehouse Builder to build your data warehouse. Covering warehouse design, the import of source data, the ETL cycle and more, this book will have you up and running in next to no time. This book will walk you through the complete process of planning, building, and deploying a data warehouse using Oracle Warehouse Builder. By the book's end, you will have built your own data warehouse from scratch. Starting with the installation of the Oracle Database and Warehouse Builder software, this book then covers the analysis of source data, designing a data warehouse, and extracting, transforming, and loading data from the source system into the data warehouse. You'll follow the whole process with detailed screenshots of key steps along the way that have all been updated for the new Fusion Client Platform interface in 11gR2, alongside numerous tips and hints not covered by the official documentation. You'll finish up with a brand new chapter on code templates where you'll implement a complete mapping using JDBC connectivity and code template mappings.
What you will learn
Configure your Oracle database to communicate with a non-Oracle database using Oracle Heterogeneous Services
Build, view, and edit a cube and its dimensions, using Warehouse Builder Wizards and the Data Object Editor
Discover the underlying star schema relational structure that Warehouse Builder will build to implement your cube and dimensions
Recognize what a staging area is, and build a staging table and mapping to load it from SQL Server database tables
Master various operators for use in mappings, for the transformation and flow of data
Build and execute mappings to load dimensions and a cube using the Warehouse Builder Mapping Editor and Control Center Manager
Detailed explanation of the new interface in 11gR2
Implement JDBC connectivity to a remote database and access source data using a code template mapping
Автор: Matthias Jarke; Maurizio Lenzerini; Yannis Vassili Название: Fundamentals of Data Warehouses ISBN: 3642075649 ISBN-13(EAN): 9783642075643 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the first comparative review of the state of the art and the best current practices of data warehouses.
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.
Автор: Naveen Prakash; Deepika Prakash Название: Data Warehouse Requirements Engineering ISBN: 9811070180 ISBN-13(EAN): 9789811070181 Издательство: Springer Рейтинг: 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.
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