

Freestyle Fridays - The Cult of Scrum, or Why Not Everything Needs to be a Sprint
16 snips Feb 28, 2025
Many data professionals are stressed from pressure to deliver quickly instead of taking time to think deeply. There’s a discussion on the clash between agile practices and effective data modeling, emphasizing the need for a solid foundation. The importance of distinguishing between Deep Work and Delivery Work is highlighted. Finally, the conversation encourages a balanced approach to project planning that respects both speed and depth in complex workflows, rather than forcing everything into short sprints.
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Bubble Wrap Analogy
- A data practitioner at a successful fintech startup felt their work was like "adding bubble wrap" to existing systems.
- This was due to shortcuts taken during the company's initial fast-paced growth phase.
Thinking vs. Delivery
- Some work requires deep thinking, while other work focuses on delivery.
- These two types of work can coexist but often clash due to an overemphasis on speed.
Agile vs. Scrum
- Understand that Agile and Scrum are different.
- Scrum, with its sprints, is a delivery methodology, while Agile is a broader philosophy.