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Ramya .C
Ramya .C

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๐Ÿš€Day 45 of Data analytics journey!

Today I explored and practiced the following in Power BI & Data Modeling:

  • ๐Ÿ”ง Fixed Power BI Map Visual Issue
    (Solution: Chrome โ†’ Power BI Admin Portal โ†’ Tenant Settings โ†’ Integration Settings โ†’ Enable)

  • ๐Ÿ“Š Dimension Modeling

    • Fact Table โ†’ Stores measurable business data (sales, revenue, etc.)
    • Dimension Table โ†’ Stores descriptive attributes (customer, product, time, etc.)
    • Attributes โ†’ Properties that describe dimensions (customer name, product category, etc.)
  • ๐ŸŒŸ Schema Types

    • Star Schema โ†’ Fact table connected directly to dimensions (simple & fast).
    • Snowflake Schema โ†’ Dimensions further normalized into sub-dimensions (complex but reduces redundancy).
  • ๐Ÿ—‚ Conceptual Model

    โ†’ High-level design that shows entities, relationships, and flow of business data.

  • ๐ŸŒ Geo Data

    โ†’ Data that contains location info (like country, state, city) used for map visuals.

  • โž• Create New Table

    โ†’ Done using Modeling > New Table in Power BI (with DAX formula).

  • โšก X Language (DAX)

    โ†’ Data Analysis Expressions, a formula language in Power BI for creating measures, calculated columns, and tables.

PowerBI #DataAnalytics #Day45

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