Star Schema The Complete Reference

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Author: Christopher Adamson

Publisher: McGraw Hill Professional

ISBN: 9780071744331

Category: Computers

Page: 510

View: 9237

The definitive guide to dimensional design for your data warehouse Learn the best practices of dimensional design. Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts. This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology. Master the fundamentals of star schema design and slow change processing Identify situations that call for multiple stars or cubes Ensure compatibility across subject areas as your data warehouse grows Accommodate repeating attributes, recursive hierarchies, and poor data quality Support conflicting requirements for historic data Handle variation within a business process and correlation of disparate activities Boost performance using derived schemas and aggregates Learn when it's appropriate to adjust designs for BI and ETL tools

Star Schema: The Complete Ref.

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Author: Adamson

Publisher: Tata McGraw-Hill Education

ISBN: 9780071070607

Category:

Page: 524

View: 1992

About the Book : - This all-inclusive volume begins with dimensional design fundamentals and shows how dimensional design fits into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology. Master the fundamentals of star schema design and slow change processing Identify situations that call for multiple stars or cubes Ensure compatibility across subject areas as your data warehouse grows Accommodate repeating attributes, recursive hierarchies, and poor data quality Support conflicting requirements for historic data Handle variation within a business process and correlation of disparate activities Boost performance using derived schemas and aggregates Learn when it s appropriate to adjust designs for BI and ETL toolsChristopher Adamson is a faculty member at The Data Warehousing Institute (TDWI) and an independent data warehousing consultant who has managed all phases of data warehouse implementation for clients that include Fortune 500 companies, large and small businesses, government agencies, and data warehousing software vendors.

The Star Schema Handbook

The Complete Reference to Dimensional Data Warehouse Design

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Author: Christopher Adamson

Publisher: John Wiley and Sons

ISBN: 0470477261

Category: Computers

Page: 408

View: 3994

The first comprehensive handbook on star schema design The Star Schema Handbook is a comprehensive guide to dimensional modeling covering both basic and advanced topics. Organized around technical concepts rather than business examples, this is the perfect resource for data warehouse designers or developers. The book is architecture-neutral, providing full coverage of the best practices for the design of star schema and OLAP cubes in any environment. You'll find numerous examples of designs drawn from real-world situations. The book covers schema capabilities, ETL loading, reporting, and more. The Star Schema Handbook is a complete reference for dimensional modeling and star schema design, whether you're new to the field or are seeking advanced information to help you address specific design challenges The book explores best practices for star schema design and OLAP cubes; it is architecture-neutral, providing guidance on best design practices for any environment Topics include schema capabilities, ETL loading, reporting, and much more This comprehensive guide covers both basic and advanced topics, making it the complete reference for all data warehouse designers.

Agile Data Warehouse Design

Collaborative Dimensional Modeling, from Whiteboard to Star Schema

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Author: Lawrence Corr,Jim Stagnitto

Publisher: DecisionOne Consulting

ISBN: 0956817203

Category: Business & Economics

Page: 304

View: 4298

Agile Data Warehouse Design is a step-by-step guide for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling ] brainstorming) with BI stakeholders. This book describes BEAM, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM provides tools and techniques that will encourage DW/BI designers and developers to move away from their keyboards and entity relationship based tools and model interactively with their colleagues. The result is everyone thinks dimensionally from the outset! Developers understand how to efficiently implement dimensional modeling solutions. Business stakeholders feel ownership of the data warehouse they have created, and can already imagine how they will use it to answer their business questions. Within this book, you will learn: Agile dimensional modeling using Business Event Analysis & Modeling (BEAM ) Modelstorming: data modeling that is quicker, more inclusive, more productive, and frankly more fun! Telling dimensional data stories using the 7Ws (who, what, when, where, how many, why and how) Modeling by example not abstraction; using data story themes, not crow's feet, to describe detail Storyboarding the data warehouse to discover conformed dimensions and plan iterative development Visual modeling: sketching timelines, charts and grids to model complex process measurement - simply Agile design documentation: enhancing star schemas with BEAM dimensional shorthand notation Solving difficult DW/BI performance and usability problems with proven dimensional design patterns LawrenceCorr is a data warehouse designer and educator. As Principal of DecisionOne Consulting, he helps clients to review and simplify their data warehouse designs, and advises vendors on visual data modeling techniques. He regularly teaches agile dimensional modeling courses worldwide and has taught dimensional DW/BI skills to thousands of students. Jim Stagnitto is a data warehouse and master data management architect specializing in the healthcare, financial services, and information service industries. He is the founder of the data warehousing and data mining consulting firm Llumino.

Mastering Data Warehouse Aggregates

Solutions for Star Schema Performance

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Author: Christopher Adamson

Publisher: John Wiley & Sons

ISBN: 1118429184

Category: Computers

Page: 384

View: 7124

This is the first book to provide in-depth coverage of star schema aggregates used in dimensional modeling-from selection and design, to loading and usage, to specific tasks and deliverables for implementation projects Covers the principles of aggregate schema design and the pros and cons of various types of commercial solutions for navigating and building aggregates Discusses how to include aggregates in data warehouse development projects that focus on incremental development, iterative builds, and early data loads

The Data Warehouse Toolkit

The Definitive Guide to Dimensional Modeling

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Author: Ralph Kimball,Margy Ross

Publisher: John Wiley & Sons

ISBN: 1118732286

Category: Computers

Page: 600

View: 639

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence Begins with fundamental design recommendations and progresses through increasingly complex scenarios Presents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and more Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more Design dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition.

Data warehouse design solutions

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Author: Christopher Adamson,Michael Venerable

Publisher: John Wiley & Sons Inc

ISBN: N.A

Category: Business & Economics

Page: 523

View: 6976

"Each chapter is... a practice run for the way we all ought to design our data marts and hence our data warehouses."-Ralph Kimball, from the Foreword. Let the experts show you how to customize data warehouse designs for real business needs in Data Warehouse Design Solutions. To effectively design a data warehouse, you have to understand its many business uses. This guidebook shows you how business managers in different corporate functions actually use data warehouses to make decisions. You'll get a rich set of data warehouse designs that flow from realistic business cases. Two top experts show you how to customize your data warehouse designs for real-life business needs including: * Sales and marketing * Production and inventory management * Budgeting and financial reporting * Quality control * Product delivery and fulfillment * Strategic business analysis such as determining market share, rates of return on investment, and other key analytic ratios. CD-ROM includes All sample data warehouse designs with accompanying preformatted reports in HTML for specific business uses such as marketing, sales, and financial analysis.

Mastering Data Warehouse Design

Relational and Dimensional Techniques

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Author: Claudia Imhoff,Nicholas Galemmo,Jonathan G. Geiger

Publisher: John Wiley & Sons

ISBN: 0471480924

Category: Computers

Page: 456

View: 8572

A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing Written by one of the best-known exponents of the Bill Inmon approach to data warehousing Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems Weighs the pros and cons of relational vs. dimensional modeling techniques Focuses on tough modeling problems, including creating and maintaining keys and modeling calendars, hierarchies, transactions, and data quality

Star Schema The Complete Reference

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Author: Christopher Adamson

Publisher: McGraw-Hill Education

ISBN: 9780071744324

Category: Computers

Page: 510

View: 1139

The definitive guide to dimensional design for your data warehouse Learn the best practices of dimensional design. Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts. This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology. Master the fundamentals of star schema design and slow change processing Identify situations that call for multiple stars or cubes Ensure compatibility across subject areas as your data warehouse grows Accommodate repeating attributes, recursive hierarchies, and poor data quality Support conflicting requirements for historic data Handle variation within a business process and correlation of disparate activities Boost performance using derived schemas and aggregates Learn when it's appropriate to adjust designs for BI and ETL tools

The Kimball Group Reader

Relentlessly Practical Tools for Data Warehousing and Business Intelligence Remastered Collection

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Author: Ralph Kimball,Margy Ross

Publisher: John Wiley & Sons

ISBN: 1119216591

Category: Computers

Page: 912

View: 7911

The final edition of the incomparable data warehousing and business intelligence reference, updated and expanded The Kimball Group Reader, Remastered Collection is the essential reference for data warehouse and business intelligence design, packed with best practices, design tips, and valuable insight from industry pioneer Ralph Kimball and the Kimball Group. This Remastered Collection represents decades of expert advice and mentoring in data warehousing and business intelligence, and is the final work to be published by the Kimball Group. Organized for quick navigation and easy reference, this book contains nearly 20 years of experience on more than 300 topics, all fully up-to-date and expanded with 65 new articles. The discussion covers the complete data warehouse/business intelligence lifecycle, including project planning, requirements gathering, system architecture, dimensional modeling, ETL, and business intelligence analytics, with each group of articles prefaced by original commentaries explaining their role in the overall Kimball Group methodology. Data warehousing/business intelligence industry's current multi-billion dollar value is due in no small part to the contributions of Ralph Kimball and the Kimball Group. Their publications are the standards on which the industry is built, and nearly all data warehouse hardware and software vendors have adopted their methods in one form or another. This book is a compendium of Kimball Group expertise, and an essential reference for anyone in the field. Learn data warehousing and business intelligence from the field's pioneers Get up to date on best practices and essential design tips Gain valuable knowledge on every stage of the project lifecycle Dig into the Kimball Group methodology with hands-on guidance Ralph Kimball and the Kimball Group have continued to refine their methods and techniques based on thousands of hours of consulting and training. This Remastered Collection of The Kimball Group Reader represents their final body of knowledge, and is nothing less than a vital reference for anyone involved in the field.

The XML Schema Complete Reference

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Author: Cliff Binstock

Publisher: Addison-Wesley Professional

ISBN: 0672323745

Category: Computers

Page: 965

View: 6177

Provides examples of XML schema components with corresponding schema document elements.

Building the Data Warehouse

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Author: W. H. Inmon

Publisher: John Wiley & Sons

ISBN: 0471774235

Category: Computers

Page: 543

View: 1880

The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which have been pioneered by Inmon himself In addition to explaining the fundamentals of data warehouse systems, the book covers new topics such as methods for handling unstructured data in a data warehouse and storing data across multiple storage media Discusses the pros and cons of relational versus multidimensional design and how to measure return on investment in planning data warehouse projects Covers advanced topics, including data monitoring and testing Although the book includes an extra 100 pages worth of valuable content, the price has actually been reduced from $65 to $55

Oracle DBA Guide to Data Warehousing and Star Schemas

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Author: Bert Scalzo

Publisher: Prentice Hall Professional

ISBN: 9780130325846

Category: Computers

Page: 208

View: 4297

The ultimate reference guide to successful implementation of star schemas within Oracle data warehouses, this edition also covers Oracle 8i and Oracle 9i with real-world examples, sample code and benchmarks to illustrate key concepts.

Data Warehouse Design: Modern Principles and Methodologies

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Author: Matteo Golfarelli,Stefano Rizzi

Publisher: McGraw Hill Professional

ISBN: 0071610405

Category: Computers

Page: 480

View: 2866

Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy "A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners." Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University

The Microsoft Data Warehouse Toolkit

With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset

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Author: Joy Mundy,Warren Thornthwaite,Ralph Kimball

Publisher: John Wiley & Sons

ISBN: 0470640383

Category: Computers

Page: 648

View: 7007

Focus your efforts on the best opportunities --

Building a Scalable Data Warehouse with Data Vault 2.0

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Author: Dan Linstedt,Michael Olschimke

Publisher: Morgan Kaufmann

ISBN: 0128026480

Category: Computers

Page: 684

View: 9496

The Data 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

Data Mapping for Data Warehouse Design

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Author: Qamar Shahbaz

Publisher: Elsevier

ISBN: 0128053356

Category: Computers

Page: 180

View: 6120

Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle. Covers all stages of data warehousing and the role of data mapping in each Includes a data mapping strategy and techniques that can be applied to many situations Based on the author’s years of real-world experience designing solutions

Data Warehousing Fundamentals

A Comprehensive Guide for IT Professionals

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Author: Paulraj Ponniah

Publisher: John Wiley & Sons

ISBN: 0471463892

Category: Computers

Page: 544

View: 9906

Geared to IT professionals eager to get into the all-important field of data warehousing, this book explores all topics needed by those who design and implement data warehouses. Readers will learn about planning requirements, architecture, infrastructure, data preparation, information delivery, implementation, and maintenance. They'll also find a wealth of industry examples garnered from the author's 25 years of experience in designing and implementing databases and data warehouse applications for major corporations. Market: IT Professionals, Consultants.

Building A Data Warehouse: With Examples In Sql Server

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Author: Vincent Rainardi

Publisher: John Wiley & Sons

ISBN: 9788181289711

Category:

Page: 540

View: 7964

The book describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The RDBMS used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later.· Introduction to Data Warehousing· Data Warehouse Architecture· Data Warehouse Development Methodology· Functional and Non-Functional Requirements· Data Modeling· Physical Database Design· Data Extraction· Populating the Data Warehouse· Assuring Data Quality· Metadata· Building Reports· Multidimensional Database· Using Data Warehouse for Business Intelligence· Using Data Warehouse for Customer Relationship Management· Other Datawarehouse Usage· Testing your DataWarehouse· Data Warehouse Administration

Data Modeling and Database Design

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Author: Narayan S. Umanath,Richard W. Scamell

Publisher: Cengage Learning

ISBN: 1285085256

Category: Computers

Page: 720

View: 8674

DATA MODELING AND DATABASE DESIGN presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course. Database design and data modeling encompass the minimal set of topics addressing the core competency of knowledge students should acquire in the database area. The text, rich examples, and figures work together to cover material with a depth and precision that is not available in more introductory database books. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.