Data and Microsoft Fabric

Data Modeling: Structuring Information for Analysis

Why This Matters Bad schema: orders: id, customer_name, customer_email, product_name, product_price, quantity, total Problems: – Customer data duplicated in every order – Update customer email → must update 1000 order rows – Product price change → old orders show wrong price – Inconsistencies inevitable Good schema: customers: id, name, email products: id, name, price orders: […]

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From Raw Data to Insight: The Data Journey

Why This Matters Raw data: 10GB of server logs, inconsistent timestamps, missing values, duplicates. Trusted insight: “Peak traffic occurs 2PM-4PM on weekdays; optimize server capacity accordingly.” The gap between these is the entire data engineering discipline. Data doesn’t start clean. It starts messy, inconsistent, incomplete. The journey from raw to trusted is deliberate transformation. What

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