Caching and Datagroups with LookML Reviews

Doesnt show in practice how triggers work

Oleg K. · Reviewed أكثر من سنة ago

Ti T. · Reviewed أكثر من سنة ago

Jayant G. · Reviewed أكثر من سنة ago

Muhammad Fachrul R. · Reviewed أكثر من سنة ago

good lab

Krishna B. · Reviewed أكثر من سنة ago

Mausam T. · Reviewed أكثر من سنة ago

AHMAD FURQON A. · Reviewed أكثر من سنة ago

jyoti k. · Reviewed أكثر من سنة ago

Deepali D. · Reviewed أكثر من سنة ago

I recently completed the "Caching and Datagroups with LookML" lab on Cloud Skill Boost, and it was a valuable learning experience. This lab deepened my understanding of how Looker uses caching to enhance performance and reduce database load by storing and reusing query results. I gained hands-on experience in defining and applying datagroups in LookML, which are essential for managing caching policies and optimizing data retrieval. By configuring datagroups and setting parameters like `max_cache_age` and `sql_trigger`, I learned how to efficiently manage cache for individual Explores, ensuring that data remains up-to-date while maintaining optimal performance. This lab significantly improved my skills in Looker and LookML, enabling me to better manage data caching and enhance data analysis workflows.

Lavesh P. · Reviewed أكثر من سنة ago

Shikha M. · Reviewed أكثر من سنة ago

gulshan G. · Reviewed أكثر من سنة ago

Jatin B. · Reviewed أكثر من سنة ago

Akash G. · Reviewed أكثر من سنة ago

Neha P. · Reviewed أكثر من سنة ago

Arash J. · Reviewed أكثر من سنة ago

Ambika P. · Reviewed أكثر من سنة ago

Dipti P. · Reviewed أكثر من سنة ago

good

Vivek N. · Reviewed أكثر من سنة ago

uday kiran v. · Reviewed أكثر من سنة ago

ff

Raman S. · Reviewed أكثر من سنة ago

Good Lab

Sanket G. · Reviewed أكثر من سنة ago

good

Meghana G. · Reviewed أكثر من سنة ago

Good

Deekshith A. · Reviewed أكثر من سنة ago

Pratham A. · Reviewed أكثر من سنة ago