Continuous Data Warehousing: Addressing the Hard Problems
The world moves at a rapid pace, and your organization must be able to respond to changing conditions. Your data warehouse (DW) team is being asked to help end users answer new questions to gain new insights. These requests are coming in at an increasing pace and are increasingly complex. Your team(s) need to adopt a continuous data warehousing strategy, but are struggling to address common challenges when trying to do so.
In this session Scott Ambler addresses a series of difficult questions that DW practitioners need answers to if they are to learn how to work in a work in an agile manner
Addressing Common Challenges in Continuous Data Warehousing
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- How can we proceed without modeling everything in detail up front?
- What can we do when our users can’t tell us what data they need?
- How can we easily respond to changing requirements?
- How do we implement “vertical slices” of value?
- It takes weeks to analyze a legacy data source, how does that fit into a two-week sprint?
- How can we address quality problems in the data sources that we work with, and usually aren’t responsible for?
- Our end users want updates in hours or days, how do we do that in two-week sprints?
- Is it realistic to evolve production data sources?
- How can we deliver new changes quickly into production?
- And more.
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Organizations around the world have successfully adopted agile, lean ways, and more importantly continuous ways of working (WoW) on the DW teams. You can too.
Audience For This Presentation
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- Data professionals wanting to learn how to take a continuous (DevOps) approach to data warehousing (DW) and business intelligence (BI)
- Agile practitioners – including Product Owners, Scrum Masters, and Architecture Owners – working with a continuous DW team
- Agile coaches who are supporting a continuous data warehousing team
- IT management who want to adopt DevOps within their organization
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Why You Want to Hear About Continuous Data Warehousing From Me
I have been working in the data space since the late 1980s, building DW/BI solutions before they were even called that. I’m the thought leader behind the Agile Data method and co-creator of PMI’s Disciplined Agile (DA) tool kit. Most importantly, I’ve taught and coached teams to adopt a disciplined approach to continuous data warehousing.
Presentation History
I have given this presentation in various settings since 2015. Originally this focused on an agile approach to DW/BI, but has evolved since then into continuous DW/BI. This is one of several topics that I speak on, and you can find about more about What I Do if you’re interested in engaging with me.
Related Workshops and Presentations
- Workshop: Continuous Data Warehousing (DW): A Disciplined Hybrid Method
- Workshop: Continuous Data Warehousing (DW) for Leadership
- Presentation: Continuous Data Warehousing (ADW): An Introduction
- Presentation: Data Debt: Proven Strategies to Improve Data Quality
- Presentation DataOps: How to Bring Databases into DevOps