Practical Data Modeling

Cadence

Weekly

Latest

2026-10-29

By

Joe Reis

Based on

12 recent issues

• Covers: Practical data modeling techniques, managing data grain, relationships, handling different data forms, and avoiding dashboard errors.
• For: Data practitioners, analysts, and engineers looking to improve data modeling skills.
• Best for: Data engineers and analysts wanting to master robust data modeling principles.
• Skip if: Non-technical professionals or those not working with databases and analytics.

Start with

• Week 3 - Counting Tickets Without Counting Them Twice: Explains relationships, grain, and aggregation to prevent duplicate counting in data models.
• Week 2 - Recognizing the Same Ticket in Different Forms of Data: Covers entities, identifiers, and managing multi-channel support data across systems.
• Fan-Out: Why Your Dashboard Counts Customers Twice: Identifies fan-out issues caused by table joins that distort metrics in analytics dashboards.

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