Prerequisite: This course assumes familiarity with basic data warehouse architectures, data transformation processes, and elementary project management concepts.
Agile data warehousing techniques regularly accelerate BI/DW development by two to four times while simultaneously increasing deliverable quality, making BI application delivery significantly faster, cheaper, and better.
In this course, a veteran data warehouse architect and the author of Agile Data Warehousing will introduce Agile Data Warehousing™, a method combining scrum and XP that employs a wide variety of techniques to free development teams from the quagmire of lengthy specifications and focus them instead upon the true measure of success: quickly delivered, potentially shippable code.
Strategies for rapidly gathering requirements and estimating work quickly and accurately, as well as quality assurance through automated and continuous integration testing, will be central to the discussion, as will be the strategies for advocating an agile approach to skeptical IT management.
The presenter has deployed agile data warehousing in many CMMI-compliant BI and DW departments for the Fortune 500, making this method applicable to even the most formal development environments.
You Will Learn
In this course, you will learn how many agile adaptations can increase your team’s development velocity, such as:
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Co-located, self-organized teams
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Time-boxed development cycles
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Just-in-time requirements
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Size-based estimation
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Tools for “project management lite”
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Test-led development
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Automated and continuous integration/regression testing
Geared To
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Anyone frustrated with how slow and expensive even the simplest BI/DW projects have become; senior-level participants in data warehousing projects or programs, including program managers, project managers, solutions architects, and lead technical team members