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Agile Data Warehousing Project Management

Business Intelligence Systems Using Scrum

Paperback Engels 2012 1e druk 9780123964632
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Samenvatting

Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build a serious "data mart". Regardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse.

- Provides a thorough grounding on the mechanics of Scrum as well as practical advice on keeping your team on track
- Offers a step-by-step introduction to defining, planning, and delivering an agile data warehouse
- Enables you and your teams to start simple and progress steadily to world-class performance levels

Specificaties

ISBN13:9780123964632
Taal:Engels
Bindwijze:paperback
Aantal pagina's:356
Druk:1
Verschijningsdatum:9-11-2012
Hoofdrubriek:IT-management / ICT

Lezersrecensies

Wees de eerste die een lezersrecensie schrijft!

Over Bill Hughes

Bill Hughes is a former professor of marketing at Kellogg School of Management. The author of Windows Phone 7 For Dummies, Bill has worked with major corporations including IBM, Motorola, and Nextel.

Andere boeken door Bill Hughes

Inhoudsopgave

List of figures
List of tables
Preface
Author's Bio

Part 1: A Generic Agile Method
1. Why Agile?
-The "Disappointment Cycle" of Many Traditional Projects
-Agile's Iterative and Incremental Delivery Alternative
-Agile as Applied to Data Warehousing
-Not A Revolution, Just An Impressive Evolution
-Where to Be Cautious with Agile DW/BI

2. Agile Development in a Nutshell
-Minimal Facilities Required
-Product Owners and Scrum Masters
-Three Cycles of a Generic Scrum Iteration
-Iteration Phase 1: Story Conferences
-Iteration Phase 2: Task Planning
-Iteration Phase 3: Development Phase
-Iteration Phase 4: User Demos
-Iteration Phase 5: Sprint Retrospectives
-Non-Standard Iterations

3. Project Management Lite
-Highly-Transparent Task Boards
-Burndown Charts Reveal Progress and Velocity
-Dealing with Tech Debt and Scope Creep
-Should You Extend a Sprint?
-Overcoming Geographical Barriers

4. User Stories for Business Intelligence Applications
-Traditional Requirement Management And Its Discontents
-Agile's Idea of "User Stories"
-User Story Definition Fundamentals
-Generic Frameworks for Writing Good User Stories

Part 2: Adapting Agile to Data Warehousing
5. Developer Stories for Data Integration Projects
-Warehousing Architecture and "Developer Stories"
-Better Warehouse User Epic Decomposition
-Further Project Partitioning Strategies
-Answering the Nay Sayers

6. Agile Estimation for DW/BI
-The Damage Done By Bad Estimation
-Why Waterfall Estimate Poorly
-Two Approaches: Story Points Versus Ideal Time
-Agile Estimation Techniques
-Agile Release and Project Planning
-Estimation Quality As The Team's One, True Metric

7. Further Adaptations for Agile Data Warehousing
-Additional Roles Required
-Scrumban: Pipelined Delivery Yields a Sustainable Pace
-Tiered Data Models for Managing Dependencies
-Reference Models and BOE Cards
-Balancing Agility and Perfection in Design
-Demo Data Churn and Its Solutions
-Communicating Progress
-The Agile Data Warehousing Manifesto

8. Starting and Scaling Agile Warehousing Teams
-Six Stages in Nurturing A World-Class Team
-Stage 0: Time-Boxed Iterations & Agile Estimation
-Stage 1: Release Planning
-Stage 2: Pipelined Delivery Squads
-Stage 3: Requirements Decomposition
-Stage 4: Reference Models & Test-Led Development
-Stage 5: Continuous Integration Testing
-Managing Frustration with Early Iterations
-Managing Adversity within the Larger Organization
-Picking velocities for the first sprint
-Scaling Scrum Teams
-SideBar: Items for Iteration -1 and 0

Part 3: Retrospective
9. Faster, Better, Cheaper
-What is Agile?
-What is Agile Data Warehousing?
-Where Does Agile Get All Its Speed?
-Why does Agile Work So Well?
-Answering the What Abouts?

References
Index

Managementboek Top 100

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