LookML vs Tableau Prep

Developers should learn LookML when working with Looker to build scalable and maintainable data models that ensure data consistency and governance across an organization meets developers should learn tableau prep when working in data analytics or business intelligence roles that require efficient data wrangling before visualization. Here's our take.

LookML

Nice Pick

Developers should learn LookML when working with Looker to build scalable and maintainable data models that ensure data consistency and governance across an organization

Pros

• It is particularly useful for data engineers and analysts who need to define business metrics, create derived tables, and manage data access controls in a collaborative environment
• Related to: looker, sql

Cons

• Specific tradeoffs depend on your use case

Tableau Prep

Developers should learn Tableau Prep when working in data analytics or business intelligence roles that require efficient data wrangling before visualization

Pros

• It is particularly useful for handling messy data, automating repetitive cleaning tasks, and ensuring data consistency across multiple sources
• Related to: tableau-desktop, data-wrangling

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use LookML if: You want it is particularly useful for data engineers and analysts who need to define business metrics, create derived tables, and manage data access controls in a collaborative environment and can live with specific tradeoffs depend on your use case.

Use Tableau Prep if: You prioritize it is particularly useful for handling messy data, automating repetitive cleaning tasks, and ensuring data consistency across multiple sources over what LookML offers.

The Bottom Line

LookML wins

Developers should learn LookML when working with Looker to build scalable and maintainable data models that ensure data consistency and governance across an organization