Star and Snowflake Schemas


Azure Cloud Data Engineering Training in Hyderabad – Quality Thoughts

Quality Thoughts offers one of the best Azure Cloud Data Engineering courses in Hyderabad, ideal for graduates, postgraduates, working professionals, or career switchers. The course combines hands-on learning with an internship to make you job-ready in a short time.

Our expert-led training goes beyond theory, with real-time projects guided by certified cloud professionals. Even if you’re from a non-IT background, our structured approach helps you smoothly transition into cloud roles.

The course includes labs, projects, mock interviews, and resume building to enhance placement success.

Why Choose Us?

     1. Live Instructor-Led Training

     2. Real-Time Internship Projects

     3.Resume & Interview Prep

    4 .Placement Assistance

    5.Career Transition Support

Join us to unlock careers in cloud data engineering. Our alumni work at top companies like TCS, Infosys, Deloitte, Accenture, and Capgemini.

Note: Azure Table and Queue Storage support NoSQL and message handling for scalable cloud apps

 Star and Snowflake Schemas

Star Schema has a central fact table (containing quantitative data like sales, revenue, quantity) linked directly to dimension tables (descriptive data like customer, product, date, region). The structure looks like a star, with the fact table at the center and dimension tables radiating outward. It is denormalized, so dimension tables store all related attributes, reducing joins and improving query performance, but may cause data redundancy. It’s easy to understand and fast for OLAP queries.

Snowflake Schema is a more normalized form. Dimension tables are broken into sub-dimensions, reducing redundancy but increasing the number of joins. For example, a “Product” dimension might link to separate “Category” and “Supplier” tables. The structure resembles a snowflake due to branching relationships. It saves storage space and maintains data integrity but may slow queries due to multiple joins.

In summary:

Star Schema → Simpler, faster queries, uses more storage.

Snowflake Schema → More complex, slower queries, optimized storage.

Choosing between them depends on query performance needs vs. storage efficiency.

Read More

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Data Modeling & Management

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Azure Defender for Data

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