Caching and Datagroups with LookML Reviews

Ti T. · Reviewed over 1 year ago

Jayant G. · Reviewed over 1 year ago

Muhammad Fachrul R. · Reviewed over 1 year ago

good lab

Krishna B. · Reviewed over 1 year ago

Mausam T. · Reviewed over 1 year ago

AHMAD FURQON A. · Reviewed over 1 year ago

jyoti k. · Reviewed over 1 year ago

Deepali D. · Reviewed over 1 year 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 over 1 year ago

Shikha M. · Reviewed over 1 year ago

gulshan G. · Reviewed over 1 year ago

Jatin B. · Reviewed over 1 year ago

Akash G. · Reviewed over 1 year ago

Neha P. · Reviewed over 1 year ago

Arash J. · Reviewed over 1 year ago

Ambika P. · Reviewed over 1 year ago

Dipti P. · Reviewed over 1 year ago

good

Vivek N. · Reviewed over 1 year ago

uday kiran v. · Reviewed over 1 year ago

ff

Raman S. · Reviewed over 1 year ago

Good Lab

Sanket G. · Reviewed over 1 year ago

good

Meghana G. · Reviewed over 1 year ago

Good

Deekshith A. · Reviewed over 1 year ago

Pratham A. · Reviewed over 1 year ago

Kunj G. · Reviewed over 1 year ago