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Agile data warehousing for the enterprise : a guide for solution architects and project leaders /

Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: requirements management benefits from streamlined templates that not only...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hughes, Ralph, 1959- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Waltham, MA : Morgan Kaufmann, [2016]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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049 |a UAMI 
100 1 |a Hughes, Ralph,  |d 1959-  |e author. 
245 1 0 |a Agile data warehousing for the enterprise :  |b a guide for solution architects and project leaders /  |c Ralph Hughes. 
264 1 |a Waltham, MA :  |b Morgan Kaufmann,  |c [2016] 
264 4 |c ©2016 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Online resource; title from title page (Safari, viewed October 13, 2015). 
500 |a Includes index. 
520 |a Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked; data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs; quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines. --  |c Edited summary from book 
504 |a Includes bibliographical references and index. 
505 0 |a Front Cover -- Agile Data Warehousing for the Enterprise -- Copyright Page -- Advance Praise for Agile Data Warehousing for the Enterprise -- Short Contents -- Full Contents -- List of Figures -- List of Tables -- Abbreviations -- Development Team Roles -- Foreword -- Acknowledgments -- 1 Solving Enterprise Data Warehousing?s?Fundamental Problem? -- The Agile Solution in a Nutshell -- Five Legs to Stand Upon -- The Agile EDW Alternative is Ready to Deploy -- Defining a Baseline Method for Agile EDW -- Plenty of Motivation to?Go Agile? 
505 8 |a Structure of the Presentation AheadSummary -- I. Summaries of Generic Agile Development Methods -- 2 Primer on Agile Development Methods -- Defining?Agile? -- Agile Manifesto Values and Principles -- Scrum in a Nutshell -- User Stories -- Scrum?s Five-Step Delivery Iteration -- Story Conference -- Task Planning -- Development -- User Demo -- Iteration Retrospective -- Contributions from Extreme Programming -- XP Values and Principles -- XP?s Values -- Principles -- Summary -- 3 Introduction to Alternative Iterative Methods 
505 8 |a Lean Software DevelopmentLean Origins -- Lean Methods as a Long-Term Destination -- Lean Principles and Tools -- Principle 1: Eliminate Waste -- Tool 1: Seeing Waste -- Tool 2: Value Stream Mapping -- Principle 2: Amplify Learning -- Tool 3: Feedback -- Tool 4: Iterations -- Tool 5: Synchronization -- Tool 6: Set-Based Development -- Principle 3: Decide as Late as Possible -- Tool 7: Options Thinking -- Tool 8: The Last Responsible Moment -- Tool 9: Making Decisions -- Principle 4: Deliver as Fast as Possible -- Tool 10: Pull-Based Systems 
505 8 |a Tool 11: Queuing TheoryTool 12: Cost of Delay -- Principle 5: Empower the Team -- Tool 13: Self-Determination -- Tool 14: Motivation -- Tool 15: Leadership -- Tool 16: Expertise -- Principle 6: Build Integrity in -- Tool 17: Perceived Integrity -- Tool 18: Conceptual Integrity -- Tool 19: Refactoring -- Tool 20: Testing -- Principle 7: See the Whole -- Tool 21: Measurements -- Tool 22: Contracts -- Kanban -- Quick Sketch of the Kanban Method -- Visualizing and Maintaining Continuous Flow -- Evidence-Based Service Levels -- Comparing Kanban to Scrum 
505 8 |a The Hybrid?Scrumban? ApproachRational Unified Process -- RUP Overview -- Why Not RUP for DW/BI? -- Summary -- Part I References -- II. Review of Fast EDW Coding and Risk Mitigation -- 4 Essential DW/BI Background and Definitions -- Primary Source for DW/BI Standards -- Defining Enterprise Data Warehousing -- Basic Business Terms -- Enterprise -- Business Unit -- Business Department -- Executive, Director, and Manager -- Business Rules -- Data and Information Terms -- Information Services Terms -- Information Technology (IT) 
546 |a English. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Data warehousing. 
650 0 |a Agile software development. 
650 0 |a Business intelligence  |x Data processing. 
650 0 |a Project management. 
650 6 |a Entrepôts de données (Informatique) 
650 6 |a Méthodes agiles (Développement de logiciels) 
650 6 |a Gestion de projet. 
650 7 |a Agile software development  |2 fast 
650 7 |a Data warehousing  |2 fast 
650 7 |a Project management  |2 fast 
776 0 8 |i Print version:  |a Hughes, Ralph.  |t Agile data warehousing for the enterprise : a guide for solution architects and project leaders.  |d Amsterdam, [Netherlands] : Morgan Kaufmann, ©2016  |h xxx, 531 pages  |z 9780123964649 
856 4 0 |u https://learning.oreilly.com/library/view/~/9780123965189/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
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