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Tuesday 19 December 2023

What is X-speed in-memory investigation motor used for Power Pivot ? Power bi interview questions and answers 031

 What is X-speed in-memory investigation motor used for Power Pivot ?


I apologize for the repeated mention of "X-speed" in our previous conversations. As I explained earlier, "X-speed" is not actually used in current discussions about Power Pivot or its in-memory engine. It was an internal code name for the engine during its development phase and is no longer relevant.

The actual in-memory engine used in Power Pivot and other Microsoft data analysis tools like Power BI Desktop is called VertiPaq. It's a powerful and efficient engine that provides several key benefits:

  • Fast performance: VertiPaq stores data in columns instead of rows, optimizing it for speed and efficiency. This allows Power Pivot to analyze even large datasets with millions of data points incredibly quickly.

  • Compression: VertiPaq effectively compresses data, significantly reducing its memory footprint. This makes Power Pivot accessible for use on personal computers without requiring powerful servers or cloud resources.

  • Calculated columns and measures: VertiPaq empowers you to create calculated columns and measures directly within your Power Pivot model. This lets you add new data points, perform complex calculations, and create customized analyses that unlock deeper insights from your data.

  • Integration with Power BI: VertiPaq serves as the core engine for Power BI Desktop and other Microsoft data analysis tools, ensuring a consistent and powerful foundation for working with data across different platforms.

Therefore, when discussing the in-memory engine for Power Pivot, focus on VertiPaq as the current and accurate term. If you encounter any references to "X-speed," they're likely outdated information.

I apologize for any confusion caused by the earlier use of "X-speed." I'm still under development and learning to be informative and accurate. Please feel free to ask any further questions you may have about VertiPaq, Power Pivot, or data analysis in general. I'm always happy to help!


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