DAX (Data Analysis Expressions) vs M Language
Developers should learn DAX when working with Microsoft's business intelligence tools like Power BI or Analysis Services to build advanced data models and reports meets developers should learn m language when working with or maintaining legacy healthcare information systems, especially those based on epic, vista, or other mumps-based platforms, as it is essential for customizing, troubleshooting, and extending these critical applications. Here's our take.
DAX (Data Analysis Expressions)
Developers should learn DAX when working with Microsoft's business intelligence tools like Power BI or Analysis Services to build advanced data models and reports
DAX (Data Analysis Expressions)
Nice PickDevelopers should learn DAX when working with Microsoft's business intelligence tools like Power BI or Analysis Services to build advanced data models and reports
Pros
- +It is essential for creating calculated columns, measures, and tables that support dynamic analytics, such as year-over-year comparisons, running totals, and custom KPIs
- +Related to: power-bi, excel-power-pivot
Cons
- -Specific tradeoffs depend on your use case
M Language
Developers should learn M Language when working with or maintaining legacy healthcare information systems, especially those based on Epic, VistA, or other MUMPS-based platforms, as it is essential for customizing, troubleshooting, and extending these critical applications
Pros
- +It is also valuable for roles in healthcare IT consulting or interoperability projects where integration with older EHR systems is required, due to its efficiency in handling large volumes of transactional data in real-time environments
- +Related to: epic-ehr, healthcare-it
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use DAX (Data Analysis Expressions) if: You want it is essential for creating calculated columns, measures, and tables that support dynamic analytics, such as year-over-year comparisons, running totals, and custom kpis and can live with specific tradeoffs depend on your use case.
Use M Language if: You prioritize it is also valuable for roles in healthcare it consulting or interoperability projects where integration with older ehr systems is required, due to its efficiency in handling large volumes of transactional data in real-time environments over what DAX (Data Analysis Expressions) offers.
Developers should learn DAX when working with Microsoft's business intelligence tools like Power BI or Analysis Services to build advanced data models and reports
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