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Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics β written by GloryTecks trainers in Hyderabad.
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Data Modeling in Power BI: Star Schema Explained
Star schema modelling for Power BI: what fact and dimension tables are, why visuals query them efficiently, and a real 541,909-row flat export turned into a star, exposing the problems that break relationships, from non-unique keys to missing members, plus date tables, explicit measures and related design patterns.
Data Modeling: Star Schema, Snowflake and Data Vault
The three main warehouse modelling approaches compared by building each from the real Chinook database: a star with 3 tables, a snowflake with 6 and a data vault with 11, the joins the same question needs in each, why all three give identical answers, what each optimises for, and how teams combine them.
Cracking the Behavioral Interview: STAR Method
Most candidates know what STAR stands for; fewer have stories ready to use it. Employers such as Amazon and Microsoft recommend STAR for behavioural answers, and Microsoft adds a final step, reflection. This guide shows how to build a bank of eight stories that cover most behavioural questions, and how to adapt them.
Star Schema vs Snowflake Schema in Power BI
Star versus snowflake schemas for Power BI models: what a snowflake dimension is, why Microsoft generally favours a single flattened table, a real five-table product dimension flattened into one with every key kept, what flattening quietly drops, and the situations where keeping separate tables makes sense.