Data Warehouse Schema Design
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Data Warehouse Schema Design
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Author : Jens Lechtenbörger
language : en
Publisher: IOS Press
Release Date : 2001
Data Warehouse Schema Design written by Jens Lechtenbörger and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
A data warehouse is an integrated database primarily used in organizational decision making. Although the deployment of data warehouses is current practise in the modern information technology landscapes, the methodical schema design for such databases has only been studied cursorily."
Agile Data Warehouse Design
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Author : Lawrence Corr
language : en
Publisher: DecisionOne Consulting
Release Date : 2011-11
Agile Data Warehouse Design written by Lawrence Corr and has been published by DecisionOne Consulting this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11 with Business & Economics categories.
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 Lawrence Corr 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.
Advanced Data Warehouse Design
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Author : Elzbieta Malinowski
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-22
Advanced Data Warehouse Design written by Elzbieta Malinowski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-22 with Computers categories.
This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimányi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.
Data Warehouse Design Modern Principles And Methodologies
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Author : Matteo Golfarelli
language : en
Publisher: McGraw Hill Professional
Release Date : 2009-03-03
Data Warehouse Design Modern Principles And Methodologies written by Matteo Golfarelli and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-03 with Computers categories.
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
Mastering Data Warehouse Aggregates
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Author : Christopher Adamson
language : en
Publisher: John Wiley & Sons
Release Date : 2012-06-27
Mastering Data Warehouse Aggregates written by Christopher Adamson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-27 with Computers categories.
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
Fundamentals Of Data Warehouses
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Author : Matthias Jarke
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Fundamentals Of Data Warehouses written by Matthias Jarke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.
The first comparative review of the state of the art and best current practice in data warehousing. It covers source and data integration, multidimensional aggregation, query optimisation, update propagation, metadata management, quality assessment, and design optimisation. Also, based on results of the European DWQ project, it offers a conceptual framework by which the architecture and quality of data warehousing efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modelling, and artificial intelligence. An excellent introduction to the issues of quality and metadata usage for researchers and database professionals in academia and industry. XXXXXXX Neuer Text This book presents the first comparative review of the state-of-the-art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of a data warehouse can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence.
Migrating An Operational Database Schema To Data Warehouse Schemas
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Author : Cassandra Phipps
language : en
Publisher:
Release Date : 2001
Migrating An Operational Database Schema To Data Warehouse Schemas written by Cassandra Phipps and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
The popularity of data warehouses for analysis of data has grown tremendously, but much of the creation of data warehouses is currently done manually. Although the initial design process is labor-intensive and expensive, research towards automating data warehouse creation has been limited. We propose and illustrate algorithms for automatic schema development. Our first algorithm uses a conceptual enterprise schema of an operational database as a starting point for source-driven data warehouse schema design. Candidate conceptual data warehouse schemas are created in ME/R model form. We extend the ME/R modeling notation to note where additional user input can be used to further refine a schema. Our second algorithm follows a user-driven requirements approach that utilizes queries to guide selection of candidate schemas most likely to meet user needs. We propose a guideline of manual steps to refine the conceptual schemas to suit additional user needs, for example, the level of detail needed for date fields. The selected and possibly refined schemas are now ready to be transformed into logical schemas. The third algorithm creates logical schemas in Star model notation from the conceptual schemas in ME/R notation. The logical model provides a basis for physical modeling and the data warehouse implementation. Our algorithms provide a foundation for an automated software tool to create and evaluate data warehouse schemas. The algorithms are illustrated using the TPC-H Benchmark schema and queries. The popularity of data warehouses for analysis of data has grown tremendously, but much of the creation of data warehouses is currently done manually. Although the initial design process is labor-intensive and expensive, research towards automating data warehouse creation has been limited. We propose and illustrate algorithms for automatic schema development. Our first algorithm uses a conceptual enterprise schema of an operational database as a starting point for source-driven data warehouse schema design. Candidate conceptual data warehouse schemas are created in ME/R model form. We extend the ME/R modeling notation to note where additional user input can be used to further refine a schema. Our second algorithm follows a user-driven requirements approach that utilizes queries to guide selection of candidate schemas most likely to meet user needs. We propose a guideline of manual steps to refine the conceptual schemas to suit additional user needs, for example, the level of detail needed for date fields. The selected and possibly refined schemas are now ready to be transformed into logical schemas. The third algorithm creates logical schemas in Star model notation from the conceptual schemas in ME/R notation. The logical model provides a basis for physical modeling and the data warehouse implementation. Our algorithms provide a foundation for an automated software tool to create and evaluate data warehouse schemas. The algorithms are illustrated using the TPC-H Benchmark schema and queries.
Star Schema The Complete Reference
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Author : Christopher Adamson
language : en
Publisher: McGraw Hill Professional
Release Date : 2010-07-22
Star Schema The Complete Reference written by Christopher Adamson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-22 with Computers categories.
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
Graph Based Methodology For Data Warehouse Schema Design
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Author : Roy Lev
language : en
Publisher:
Release Date : 2020
Graph Based Methodology For Data Warehouse Schema Design written by Roy Lev and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
This study proposes a methodology for designing a database (DB) schema for a DW .The core of this methodology is a source-to-target schema conversion solution, based on directed-graph representation of a relational DB schema. By using various graph based operators, it converts the graph representation of a relational and normalized source DB (e.g., one that supports operational information system) to a schema that would better fit DW requirements (a.k.a, "Star Schema"). The methodology does not aim at fully automated conversion, but rather permits expert-user intervention for handling schema-design decisions that would require in-depth understanding of business context and interpretation .A research-support prototype system, which was built as part of this research,implements and demonstrates the methodology. The aim of this system is to ensure the feasibility of the proposed methodology and to form an infrastructure for getting the required user input. The system helps the user realize the goodness of fit of his desired schema regarding his analytical need and carries out the Extract, Transform, Load(ETL) process. The suggested solution was evaluated by several BI experts and also compared with the previously-proposed solutions. -- From the Abstract.
The Star Schema Handbook
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Author : Christopher Adamson
language : en
Publisher: Wiley
Release Date : 2009-10-02
The Star Schema Handbook written by Christopher Adamson and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-02 with Computers categories.
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.