Saturday 23 December 2023

What is Power Pivot Data Model ? Power BI interview questions and answers 099

  What is Power Pivot Data Model

I'll address both concepts separately to provide clarity:

Power Pivot:

  • Data modeling engine: While not a standalone tool in Power BI, it's the underlying engine that powers data modeling and analysis within Power BI Desktop.

  • Imports and stores data: Facilitates loading data from various sources into a compressed in-memory data model, enabling fast analysis and calculations.

  • Creates relationships: Allows establishing relationships between different tables in your model, enabling cross-table analysis and exploration.

  • Calculated columns and measures: Empowers you to create new fields based on existing data using formulas and expressions, extending data analysis possibilities.

  • DAX language: Supports a powerful language called Data Analysis Expressions (DAX) for advanced calculations, measures, and data manipulation.

Key points about Power Pivot in Power BI:

  • It's the foundation for data modeling, enabling complex analysis and calculations.

  • Optimizes performance through in-memory storage and compression.

  • Fosters sophisticated data exploration through relationships and calculations.

Filter Writes:

  • Performance optimization technique: Aims to improve query performance by reducing the amount of data retrieved from a DirectQuery data source.

  • Filters applied at data source level: When you apply filters to a visual or report using a DirectQuery connection, Power BI sends those filters to the underlying data source, retrieving only the necessary data.

  • Benefits:

  • Reduced data transfer and faster query execution.

  • Less strain on data source resources.

  • Enhanced report responsiveness.

  • Considerations:

  • Not all data sources fully support filter writes.

  • Filters might not always be applied as expected, depending on the data source's capabilities.

Key points about filter writes:

  • Crucial for optimizing DirectQuery performance.

  • Minimize data transfer and enhance query speed.

  • Require understanding of data source capabilities and limitations.

In summary:

  • Power Pivot is the data modeling engine that drives analysis in Power BI.

  • Filter writes are a technique for optimizing DirectQuery performance by filtering data at the source.

  • Both play essential roles in building efficient and performant Power BI models.

I'm happy to provide more specific information on either topic if you have further questions or need additional insights.

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