Agile Data Warehousing Project Management

1st Edition

Business Intelligence Systems Using Scrum

Print ISBN: 9780123964632
eBook ISBN: 9780123965172
Imprint: Morgan Kaufmann
Published Date: 28th September 2012
Page Count: 366
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You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing” might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes.

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.

Key Features

  • Provides a thorough grounding on the mechanics of Scrum as well as practical advice on keeping your team on track
  • Includes strategies for getting accurate and actionable requirements from a team’s business partner
  • Revolutionary estimating techniques that make forecasting labor far more understandable and accurate
  • Demonstrates a blends of Agile methods to simplify team management and synchronize inputs across IT specialties
  • Enables you and your teams to start simple and progress steadily to world-class performance levels


Data warehousing professionals including architects, designers, data modelers, testers, database administrators, programmers, developers, scrum masters and project managers as well as IT managers, directors, and VPs

Table of Contents

List of Figures

List of Tables


Answering the skeptics

Intended audience

Parts and chapters of the book

Invitation to join the agile warehousing community

Author’s Bio

Part 1: An Introduction to Iterative Development

Chapter 1. What Is Agile Data Warehousing?

A quick peek at an agile method

The “disappointment cycle” of many traditional projects

The waterfall method was, in fact, a mistake

Agile’s iterative and incremental delivery alternative

Agile for data warehousing

Where to be cautious with agile data warehousing


Chapter 2. Iterative Development in a Nutshell

Starter concepts

Iteration phase 1: story conferences

Iteration phase 2: task planning

Iteration phase 3: development phase

Iteration phase 4: user demo

Iteration phase 5: sprint retrospectives

Close collaboration is essential

Selecting the optimal iteration length

Nonstandard sprints

Where did scrum come from?


Chapter 3. Streamlining Project Management

Highly transparent task boards

Burndown charts reveal the team aggregate progress

Calculating velocity from burndown charts

Common variations on burndown charts

Managing miditeration scope creep

Diagnosing problems with burndown chart patterns

Should you extend a sprint if running late?

Should teams track actual hours during a sprint?

Managing geographically distributed teams


Part 2: Defining Data Warehousing Projects for Iterative Development

Chapter 4. Authoring Better User Stories

Traditional requirements gathering and its discontents

Agile’s idea of “user stories”

User story definition fundamentals

Common techniques for wri


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© Morgan Kaufmann 2013
Morgan Kaufmann
eBook ISBN:
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"Anyone who has worked on a data warehousing project knows that it can be a monumental undertaking. Agile Data Warehouse (sic) Project Management…offers up an approach that can minimize challenges and improve the chance of successful delivery." --Data and Technology Today blog, April 2013

"Hughes first began working with agile data warehousing in 1996 and received skeptical reactions up until at least six years ago. Having stuck with this approach throughout, he is now receiving a more and more favorable reception and here uses his expertise to deliver a thorough implementation guide." --Reference and Research Book News, December 2012