M Code vs SQL
Developers should learn M Code when working with Microsoft's data ecosystem, especially for ETL (Extract, Transform, Load) processes in Power BI or Excel, as it allows for precise control over data transformations beyond the standard GUI tools meets developers should learn sql because it is essential for interacting with relational databases, which are foundational in most applications for storing structured data. Here's our take.
M Code
Developers should learn M Code when working with Microsoft's data ecosystem, especially for ETL (Extract, Transform, Load) processes in Power BI or Excel, as it allows for precise control over data transformations beyond the standard GUI tools
M Code
Nice PickDevelopers should learn M Code when working with Microsoft's data ecosystem, especially for ETL (Extract, Transform, Load) processes in Power BI or Excel, as it allows for precise control over data transformations beyond the standard GUI tools
Pros
- +It is essential for automating repetitive data cleaning tasks, integrating disparate data sources, and optimizing query performance in Power Query, making it valuable for roles focused on business intelligence, data analysis, or data engineering within Microsoft environments
- +Related to: power-bi, excel-power-query
Cons
- -Specific tradeoffs depend on your use case
SQL
Developers should learn SQL because it is essential for interacting with relational databases, which are foundational in most applications for storing structured data
Pros
- +It is used in scenarios like data analysis, backend development, and business intelligence, enabling efficient data retrieval and management
- +Related to: relational-databases, database-management
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use M Code if: You want it is essential for automating repetitive data cleaning tasks, integrating disparate data sources, and optimizing query performance in power query, making it valuable for roles focused on business intelligence, data analysis, or data engineering within microsoft environments and can live with specific tradeoffs depend on your use case.
Use SQL if: You prioritize it is used in scenarios like data analysis, backend development, and business intelligence, enabling efficient data retrieval and management over what M Code offers.
Developers should learn M Code when working with Microsoft's data ecosystem, especially for ETL (Extract, Transform, Load) processes in Power BI or Excel, as it allows for precise control over data transformations beyond the standard GUI tools
Disagree with our pick? nice@nicepick.dev