Business Intelligence & Data Warehousing Simplified: 500 Questions, Answers, & Tips

Business Intelligence and Data Warehousing simplified: 500 Questions, answers and suggestions

This book focuses on business and a simple question / answer format and professionals who need an introduction to business intelligence and data warehousing. Strange 30 episodes, each organized on a different theme, the book contains 500 questions about the answers and advice.

Subject characteristics of evolution and rationale, and process, architecture and objects, metadata, data conversion, ETL, data storage, infrastructure, data access, data marts, approaches implementation, planning, design, including Kimball INMO vs. multi-dimensional, OLAP, facts and dimensions, the most common mistakes and tips, etc. in the various repositories of intelligence book / manual in addition to business courses available.

About the Author

There are more than a dozen books to his credit Arshad Khan, o) data warehouse and business intelligence has been a consultant for large corporations. Lecturer at several universities and currently teaches business intelligence was at the University of California at Santa Cruz. Mr. Khan holds a Master in Chemical Engineering and an MBA.

Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing (Agile Software Development Series)

Agile methods, the use of a data warehouse (DW), Business Intelligence (BI), or analysis for the project much more innovation, value and quality can bring. However, traditional methods of Agile carefully DW / BI projects must conform to the unique properties. Agile Analytics, a pioneer Ken Collier shows how agile.

Collier, the oldest operating systems and a variety of commercial law and private offers special joint platform independent solutions for the integration of an agile infrastructure. Using examples of his work, skills development, and how different analyzes to support the rapid growth of large volumes of data and shows how to manage teams. Projects "back end" data management "front end" business analysis, contains, or both Collier provides optimal techniques.

Ben equipment delivery, community agile DW / BI project, the basic practices that determine the path of introducing agile techniques, focusing on project management and coordination.  You can cooperate for the success of the section

The second part of superior design, test DW-oriented development, version control, and automation projects, including the quality of the production value of the company to ensure a continuous delivery provides the technical methods

Collier, an IT decision makers, professional data storage, database administrator, specializing in business intelligence, or if you are a developer of database, now provides proven solutions can be applied. With your help, reduce project risk, improve business compliance, achieve better results and you can have fun along the way.

Say

"This book explains why and how to do Agile Analytics did a great job in the real world. Implementation of Ken and refinement of this approach are many lessons learned. Business Intelligence is an area certainly benefit from this type of discipline."

Zinkgraf Dale, Business Intelligence Architect Sr.

"The evidence of an important aspect of Agile Analytics, agile project management, design applications, the scope of the evolution of self-organizing teams, products and technical control of the management books width and automated management and continuous integration build. They plan an analysis, even if you a flavor of a large data-driven processing issues and products useful to society and will be beyond this general analysis of Ken. "

• Jim Highsmith, Senior Consultant, Thought Works, Inc. and author of Agile Project Management

"Agile methods of software development have changed and now it's time to convert the scan. Analytics Agile methods of analysis to the next delivery of the project provide the necessary knowledge to perform the conversion."

• Pramod Sadalage, author of Refactoring Databases: Design of scalable database

"This book is for the next ten years brings together the key strategies for successful business projects intelligence analysis. Ken Collier raised the bar for professional analysis is the challenge?"

Scott Ambler, IBM Rational Methodist president and founder of Lean Agile, Agile Data

"The teams that will help you deliver high-quality presentations in a scan, high value systems, and development of business intelligence software faster and more cost effective than traditional ways of working."

Ralph Hughes, author of Agile Data Warehousing

About the Author

Ken Collier worked with agile methods since 2003, and data warehousing, business intelligence and analysis to create a style with vivid that Google Analytics is an integrated agile methods pioneered. Several agile project teams, DW / BI project manager, technical director and continues to develop these ideas. Collier teams often DW / BI Analytics Agile in trains and Hedw speakers on the subject (Higher Education Data Warehouse), 2011, and some TDWI (The Data Warehousing Institute) was the global conferences. He is founder and KWC Technologies, Inc. President and Business Intelligence applications and consulting areas Cutter Consortium Senior Agile development.

Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema

Agile design data warehouses (DW / BI) requirements of the data warehouse / business intelligence, and the most direct way to capture the dimensions of a step by step guide to transform them into high-performance models: model storming by stakeholders BI (brainstorming + data modeling). This data warehouses, BI, stakeholders and development teams all DW / BI to improve communication between designers? BEAM, modeling, describes a three-dimensional approach to agile. BEAM? Entity-relationship model-based tools and remote keyboard and merchandise and interact with peers, developers, and BI developers and incentive DW provides techniques. The result is that everyone thinks that the beginning of the dimensions! Developers to implement effective solutions to understand three-dimensional modeling. Business, the store owner that they create, how to use the data can not imagine that feeling and to answer your questions. Topics are:

• Events Three-dimensional modeling the Agile Business Analysis and Modeling (BEAM?)
• Model storming: data modeling faster, more inclusive, more effective and more fun, frankly, much more!
• Tales 7Ws using dimensional data (what, what, how, why and how)
• Use data to explain the history and details of topics such as modeling raven feet, abstraction,
• Explore and develop iterative storyboards to keep the data size according to plan
• Visual Modeling: The process of complex models of measurement when drawing tables, graphs and networks - not just
• The agile design documents: BEAM star, stripe? Improvement plans sizes
• Difficult DW / BI and performance proven design patterns, dimensions and ease of troubleshooting

About the Author

A data storage designer and educator Lawrence Corr. Customers to review and simplify their designs and modeling techniques of visual data, providers of data storage to help inform the Council of Decision One, as a manager. He regularly teaches courses and thousands of students worldwide dimensional modeling for the dimensions of agile DW / BI taught.

Jim Stagnitto a data warehouse architect and healthcare, financial services, specializing in data management and information services sectors. He is the founder of data warehousing and data mining consulting firm Llumino.

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 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.