A Manager's Guide to Data Warehousing

Designed for business and IT managers to communicate clearly with others on the line this book help you solve your problems and propose practical ways to cooperate to create a data warehouse. Stage managers and technicians as well as learning the roles of each order at each stage of life cycle data storage will receive a clear explanation of the goals and objectives. The most important for success at every stage of life cycle decision points in the discussion of computer data storage management and business decisions, you can receive the best ways to help you understand the objectives will be United .

Administrator's Guide, data warehousing, data warehouse, he explains what it takes to create and establish a long-term success. The book covers:

• The data warehouse to ensure the most common success factors and obstacles and barriers
• The sales and technical personnel have a common understanding of data warehouse project, how to ensure that
• How to communicate effectively with business needs for data storage
• The tools to ensure that data are properly regulated and can be delivered
• Data storage and implement ways to ensure sustainable success

About the Author

Laura L. Reeves, author of Data Warehouse Lifecycle Toolkit, storage, business requirements, developing project plans complete by the end of data collection focused on developing the business model in the end it more than 23 years experience in the design, dimensions and patterns of databases and business strategies, creating data architectures and data storage.

The Data Warehouse Lifecycle Toolkit

Design, development and implementation of data warehouse and business intelligence systems, the industry standard for a full update

Data Warehouse Lifecycle Toolkit, since the first edition published in 1998, significantly changed the world of data storage. At that time, the data storage industry has come of age and advances of acceptance, the hardware and software have been incredible, and the first edition of this book promotion techniques have been adopted by almost all storage vendors and professionals in the data. Discuss the data source systems, cleaning, and add value to the delivery business: In addition, the "business intelligence" turned out to reflect long-term mission of the data warehouse.

Ralph Kimball and his colleagues, the methods of consultation and training based on their experience and their life cycle techniques have refined the original series. The authors first-hand data warehouse / business intelligence to understand the (DW / BI) will turn around faster than the organization needs to change. To this end, a system design DW / BI, develop, and is guided by the detailed steps to implement. They make better business decisions and the adaptive system that allows business users to learn how to create and analyze data.

Important new content and updates, this second edition of Data Warehouse Lifecycle Toolkit again sets the standard data storage for the next ten years. Shows you how to:

• The data warehouse to identify and prioritize opportunities
• Create an architectural plan, select and products
• Model Flexible strong design size
• Create robust ETL
• Develop BI applications to provide data for professional users
• Good DW / BI environment, implement, and maintain

Kimball, a member of the writers. Each of the data warehouse and business intelligence consulting and training for over 15 years focused on the tools I've written other books in the series. Kimball Group and Kimball University learn more about www.kimballgroup.com.

With the three following books: The book also Kimball Warehouse Toolkit Classics Box Set (9780470479575 ISBN) can be used as part of the data obtained from:

• Data Warehouse Toolkit, 2nd Edition (9780471200246)
• Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775) 
• Data Warehouse ETL Toolkit (9780764567575)

The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning

Books with previous sold over 150,000 copies by Ralph Kimball, the world authority on data storage by the co-writer

• The storage time and labor data offers concrete solutions for the most part of the test data, or load, process, retrieve data (ETL) 
• Extracting data from scattered sources, removing redundant and inaccurate data, the remaining data in the data structures correctly and then load the final product in the store is based on best practices for data 
• Proven and time-saving ETL techniques, the overall direction of building dimensional structures and guidance essential to the quality of data offers

About the Author

Ralph Kimball, Ph.D., founder of the Kimball Group, is a visionary industry leader in data storage since 1982 and is now one of the best known speakers and educators. She Data Warehouse Toolkit (Wiley), including the bestselling titles published in multiple data stores, the author.

Joe Caserta Concepts, LLC, for data storage is the founder of a consulting firm. He writes often for print and online magazines, and more for data storage professionals actively contribute DWList, online community.

Data Warehousing Fundamentals for IT Professionals

A wide variety of data analysis of the storage industry and strategic decision making has revolutionized the way companies. Since the first edition of Principles of Data Warehousing, have made huge profits, many companies have set up systems and data storage. In the manufacturing process much more. Now, this new revised edition, important new trends in the field of data warehousing and business intelligence, includes a base.

Author, planning, design, implementation and maintenance in-depth explanations on key issues with a broad overview, provides global data warehouse. Professionals are ready to enter the field of source systems, data cleansing, data transformation, data warehouse architecture and infrastructure, data mining techniques will be a good understanding and knowledge of various methods of distribution .

This is the second printing data warehouse and business intelligence application areas that highlights the impact of technological development. The discussions of evolution, which is market data, real-time information, data visualization, requirements, collection methods, multi-tier architecture, implementation, OLAP, Web Analytics clicks, warehouse data, data mining offers tools and techniques. The book is also valuable information and education, and classroom work, and a variety of appropriate means for the industry examples of real life and review questions for each chapter contains exercises.

In particular, the storage systems design, application and data to protect the professional data storage based on the principles of agile development, systematic and comprehensive IT professionals and research, or management information anyone.

Through the back door

Data storage and analysis of strategic decisions is revolutionizing the way companies a wide variety of industries. This unit of data storage systems, offers comprehensive coverage of specialists in all core subjects.

Author, planning, design, implementation and maintenance of key issues in depth explanations, provides an overview of data storage. IT experts in welding systems, data conversions, data classification, the architecture of data storage and infrastructure, and a variety of methods to disseminate information with a clear understanding of the technical data of extraction.

Basic education or data storage class work, examples of the industry applicable to real situations and solutions from other vendors, including rules for assessing a valuable addition to include an appropriate review questions and exercises. Specifically, the design, application and data storage systems for maintenance professionals, this practical book covers all official documents. - This text refers to the Hardcover edition of this title.

The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence

The proposed rules for the data warehouse and business intelligence, and a unique collection of Ralph Kimball Group colleagues developed by the team.

The leaders of industry data storage, known as the most effective and respected throughout the world, Ralph Kimball and Kimball Group to define the area of ? Data storage 250 that contains the articles written on the subject. For the first time, the board Kimball Group's unique design tips and best practices, covering a decade of innovation in data storage, articles collected in this extraordinary collection.

Kimball is a global life-cycle methodology developed by the original with comments explaining the roles of each group of items offered. This practical, hands-product fully reflects current practices and terminology planning and project requirements gathering, dimensional modeling, ETL and business intelligence and analysis, including updates for cover the entire life cycle.

In any capacity, whether or not related to data storage and business intelligence is nothing more important for the easy reference of this collection.

Detailed data and storage practices and business intelligence, most authoritative guides to the collection

Over the past 15 years, Ralph Kimball and his team, his friends a unique data warehouse (DW) in the field have come to define the topic with more than 250 articles I wrote. Kimball, group thinking and practices to reflect the reader, most of these articles have completely updated. Project planning, requirements gathering, dimensional modeling, ETL and Business Intelligence (BI) and analysis, including full life cycle, the lining, the authors go beyond Toolkit extends the detailed requirements and provide technical advice to new ideas and best practices.

Ideas drive data storage and the principles established by a group of articles begin. The following content is available for your own projects, with a deep and practical guide gives detailed information on each stage of the life cycle of data storage. After the project, including needs and business planning, the authors, while taking a bath in three dimensions. Articles in over 100 one-dimensional modeling. These items are fully revised and updated as necessary to reflect best practices established by the Kimball Group, has been extended.

Design, implementation, and the reader is Kimball Group DW / BI, recommended to protect the critical success with unique items

• Dos and don'ts for collecting requirements
• Kimball, enterprise data storage and matrix architecture
• Duties and Responsibilities dimensional modeling
• In fact, the basic concepts of the table and dimension table
• Sizes of data management are not appropriate
• Granularity, and indeed the three basic types of table
• Snowflakes and stabilizers
• Value and characteristics of multiple hierarchies of unequal size, data transfer and bridges
• Customer size and scope Shadow of internationalization
• Slow development and size of the hybrids
• Subsystems (ETL), Extract Transform and Load
• Advantages and disadvantages of using a commercial ETL tool
• Focused analytics server architecture, data management, and packaged
• Forequarter BI applications and data mining
• Techniques mature DW / BW environment, evaluation, and return to the road

About the Author

Ralph Kimball, Ph.D., founder of Kimball and a visionary leader in data storage industry.

Kimball, Margy Ross, group president since 1982 and only the solutions DW / BI focused on.

The Data Warehouse Toolkit: The Complete Guide to Dimensional Modelling (Second Edition)

The most authoritative guide on dimensional modeling for data storage the most recent version!

Three-dimensional modeling of the design of data storage has become the most widely accepted. This is a complete library of dimensional modeling techniques - the most comprehensive collection ever written. Ralph Kimball, sixty percent of the lot of the classic guide to update the design of data warehouses to optimize this second edition has been expanded to include basic and advanced techniques.

Writers on the recommendations of design and step by step progress gradually through more complex scenarios begin. Three-dimensional models for the development of clear rules and a variety of industries including enterprise applications, with case studies from real-world data warehouse as shown here:

• Retail sales and e-commerce
• Inventory Management
• Location
• Order Management
• Customer Relationship Management (CRM)
• Human Resource Management
• Accounting
• Financial services
• Telecommunications and utilities
• Education
• Transport
• Health and Insurance

At the end of the book, easy to understand and respond to quick reference of all the powerful techniques for designing dimensional databases have mastered. In addition, the standard of measurement, and the facts establishing a framework for the architecture of distributed storage of data, learns to integrate.

With the three following books: The book also Kimball Warehouse Toolkit Classics Box Set (9780470479575 ISBN) can be used as part of the data obtained from:

Data Warehouse Toolkit, 2nd Edition (9780471200246)

Data Warehouse Toolkit, life, second edition (9780470149775)

Data Warehouse ETL Toolkit (9780764567575)