Data Warehouse Project Management
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Data Warehouse Project Management
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Author : Sid Adelman
language : en
Publisher: Addison-Wesley Professional
Release Date : 2000
Data Warehouse Project Management written by Sid Adelman and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
Data warehouse development projects present a unique set of management challenges that can confound even the most experienced project manager. This work addresses these challenges and provides a roadmap to managing every aspect of data warehouse design, development, and implementation. It also reveals many pitfalls to watch out for.
Agile Data Warehousing Project Management
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Author : Ralph Hughes
language : en
Publisher: Newnes
Release Date : 2012-09-28
Agile Data Warehousing Project Management written by Ralph Hughes and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-28 with Computers categories.
What is agile data warehousing? -- Iterative development in a nutshell -- Streamlining project management -- Authoring better user stories -- Deriving initial project backlogs -- Developer stories for data integration -- Estimating and segmenting projects -- Adapting agile for data warehousing -- Starting and scaling agile data warehousing.
A Manager S Guide To Data Warehousing
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Author : Laura Reeves
language : en
Publisher: John Wiley & Sons
Release Date : 2009-06-24
A Manager S Guide To Data Warehousing written by Laura Reeves 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 2009-06-24 with Computers categories.
Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse . You’ll get clear explanations of the goals and objectives of each stage of the data warehouse lifecycle while learning the roles that both business managers and technicians play at each stage. Discussions of the most critical decision points for success at each phase of the data warehouse lifecycle help you understand ways in which both business and IT management can make decisions that best meet unified objectives.
Data Warehousing 101
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Author : Arshad Khan
language : en
Publisher: iUniverse
Release Date : 2003
Data Warehousing 101 written by Arshad Khan and has been published by iUniverse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
Data Warehousing 101: Concepts and Implementation will appeal to those planning data warehouse projects, senior executives, project managers, and project implementation team members. It will also be useful to functional managers, business analysts, developers, power users, and end-users. Data Warehousing 101: Concepts and Implementation, which can be used as a textbook in an introductory data warehouse course, can also be used as a supplemental text in IT courses that cover the subject of data warehousing. Data Warehousing 101: Concepts and Implementation reviews the evolution of data warehousing and its growth drivers, process and architecture, data warehouse characteristics and design, data marts, multi-dimensionality, and OLAP. It also shows how to plan a data warehouse project as well as build and operate data warehouses. Data Warehousing 101: Concepts and Implementation also covers, in depth, common failure causes and mistakes and provides useful guidelines and tips for avoiding common mistakes.
Implementing A Data Warehouse
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Author : Bruce Russell Ullrey
language : en
Publisher: AuthorHouse
Release Date : 2007
Implementing A Data Warehouse written by Bruce Russell Ullrey and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Data warehousing categories.
The purpose of this book is to document the methodology and chronology of work activity used by the author to successfully implement a Data Warehouse. Each of the eleven steps of the methodology is reviewed in the book, often using actual working documents as examples. The book contains lessons learned (both good and bad) as well as measures of success for each step. An essential aspect of DW project implementation (and other IT projects as well) is using established business practices to manage development and implementation. Discussion of use of these "due diligence" practices in Step 1 establishes the foundation for starting the DW project with the proper levels of management oversight. Step 2 presents examples of business models necessary for the DW developer to understand the needs of the business that the DW will serve. Other DW books describe the data modeling process but neglect to provide modeling instruction and actual examples to insure that the DW is properly aligned with business needs. An elegant data warehouse that doesn't meet the needs of the business is wasted effort. Step 3 documents and displays the level of detail needed to define CSF's (Critical Success Factors) and KPI's (Key Performance Indicators). If calculations for these important metrics are not defined in detail, and consensus to use them is not reached, then again, the most elegant data warehouse implementation is a wasted effort. In addition, developing and documenting functional requirements is essential in identifying legacy system reporting deficiencies. Step 4 describes how to access and display field level information on the iSeries platform. Actual shots of the resulting screens are shown. Step 5 presents the functional contents of an RFP for a Data Warehousing tool-set. Step 6 presents the progression of work required to build a data warehouse. Step 6 also: · Describes and displays a hybrid dimensional to flat file data model that may be, in reality, the best data organizational model for a typical data warehouse. Also, a table is included showing examples of data file field cryptic names and their corresponding metadata name. · &nb
Data Warehousing In Action
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Author : Sean Kelly
language : en
Publisher: John Wiley & Sons
Release Date : 1997-08-04
Data Warehousing In Action written by Sean Kelly 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 1997-08-04 with Business & Economics categories.
Construct and implement a data warehousing plan. In their efforts to collect information that will give them an edge, many companies have amassed vast amounts of data. Often this data becomes unwieldy and difficult to translate into anything useful. Data warehousing, storing all of this data in a system that allows for rapid retrieval of customized information, is the solution. This book, written by a data warehousing authority, is a step-by-step guide to creating and managing a data warehouse from start to finish, reviewing marketing, technology, and design issues.
E Data
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Author : Jill Dyché
language : en
Publisher: Addison-Wesley Professional
Release Date : 2000
E Data written by Jill Dyché and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
Dyche presents the complete manager's briefing on what data warehousing technology can do today and how to achieve optimal results. Using real-world case studies from Charles Schwab, Bank of America, Qantas, 20th Century Fox, and others, she covers decision support, database marketing, and many industry-specific data warehouse applications.
Data Warehousing
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Author : Mark Humphries
language : en
Publisher: Prentice Hall Professional
Release Date : 1999
Data Warehousing written by Mark Humphries and has been published by Prentice Hall Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
PLEASE PROVIDE COURSE INFORMATION PLEASE PROVIDE
Designing A Data Warehouse
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Author : Chris Todman
language : en
Publisher: Prentice Hall Professional
Release Date : 2001
Designing A Data Warehouse written by Chris Todman and has been published by Prentice Hall Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
PLEASE PROVIDE COURSE INFORMATION PLEASE PROVIDE
Data Warehousing For Dummies
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Author : Thomas C. Hammergren
language : en
Publisher: John Wiley & Sons
Release Date : 2009-04-13
Data Warehousing For Dummies written by Thomas C. Hammergren 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 2009-04-13 with Computers categories.
Data warehousing is one of the hottest business topics, and there’s more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition. Data is probably your company’s most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to: Analyze top-down and bottom-up data warehouse designs Understand the structure and technologies of data warehouses, operational data stores, and data marts Choose your project team and apply best development practices to your data warehousing projects Implement a data warehouse, step by step, and involve end-users in the process Review and upgrade existing data storage to make it serve your needs Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware Use data mining intelligently and find what you need Make informed choices about consultants and data warehousing products Data Warehousing For Dummies, 2nd Edition also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You’ll find it’s the most useful source of data on the topic!