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Showing posts with label PBI 015. Show all posts
Showing posts with label PBI 015. Show all posts

Monday, 18 December 2023

Where incremental licensing refresh feature is accessible Power BI ?Power?BI interview questions and answers 015

Where incremental licensing refresh feature is accessible Power BI ?


The incremental licensing refresh feature in Power BI is accessible in several places, depending on your license and desired usage:

Available in:

  • Power BI Pro: This is the most commonly used option for individual users with the Pro license. You can enable and configure incremental refresh directly within your datasets in Power BI Desktop and publish them to the Power BI Service for scheduled or manual refreshes.

  • Power BI Embedded datasets: This option is suitable for developers who embed Power BI reports and visuals within their own applications. Incremental refresh is available for Power BI Embedded datasets deployed in Azure App Service or through dedicated hosting solutions.

  • Premium Per User (PPU) license: Users with a PPU license can also leverage incremental refresh within their individual Power BI workspaces. However, some advanced features like partition management and refresh policies might be limited compared to dedicated Premium capacities.

Not available in:

  • Power BI Free license: The free tier of Power BI does not support incremental refresh, as it's meant for basic data exploration and visualization with limited data volume and refresh capabilities.

  • Shared workspaces in Power BI Service: Currently, incremental refresh is not supported for datasets within shared workspaces in the Power BI Service. This functionality is expected to be available in the future.

Additional considerations:

  • Dataset complexity: Incremental refresh works best with well-structured data models with clear date partitioning and efficient query design. Complex models or poorly optimized queries might not benefit as much from incremental refresh.

  • Performance and cost: While incremental refresh can improve refresh performance and reduce resource consumption, it adds some complexity to your data model and requires careful configuration. Consider your specific needs and data volume before opting for this feature.

I hope this clarifies where you can access the incremental licensing refresh feature in Power BI. Remember to choose the option that best suits your license, deployment environment, and data model complexity. Feel free to ask further if you have any specific questions about implementing incremental refresh!



Saturday, 16 December 2023

Which programming language is used in Power Query ? Power BI interview questions and answers 015

 Which programming language is used in Power Query ?


The programming language used in Power Query is actually not a single, well-defined language. Instead, it's a hybrid approach that combines elements of several languages:

1. M Formula Language: This is the core language of Power Query. It's a functional, case-sensitive language with a concise syntax and a focus on data manipulation and transformation. M shares some similarities with F#, but it's not a direct subset.

2. Data Definition Language (DDL): Power Query incorporates elements of DDL, specifically for defining tables and columns. This allows you to structure your data and prepare it for analysis.

3. Expression Language: Power Query utilizes an expression language for defining calculations and transformations within your queries. This language borrows concepts from various languages like C# and Visual Basic, making it familiar to users with some programming experience.

4. Scripting Languages (Optional): Power Query allows you to embed code from other scripting languages like Python or R within your queries for specific tasks or integrations. This offers advanced users greater flexibility and customization options.

In summary, Power Query doesn't rely on a single, traditional programming language. It takes a hybrid approach, combining elements of M, DDL, expression languages, and even optional scripting languages, providing a powerful and flexible tool for data manipulation and transformation within the Power BI ecosystem.

If you're interested in learning more about the specific syntax and features of the M language, Microsoft provides comprehensive documentation and resources available online. Additionally, various online communities and forums offer support and guidance for Power Query users of all skill levels.

I hope this clarifies the unique and multifaceted nature of the programming language used in Power Query! Feel free to ask if you have any further questions or need help getting started with Power Query.