Caching and Datagroups with LookML Reviews

Lalit S. · Reviewed about 2 months ago

Apurva L. · Reviewed about 2 months ago

Atharva P. · Reviewed about 2 months ago

Aziz S. · Reviewed about 2 months ago

RAMU K. · Reviewed about 2 months ago

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Ankita A. · Reviewed about 2 months ago

Shanu N. · Reviewed about 2 months ago

Efan W. · Reviewed about 2 months ago

N p. · Reviewed about 2 months ago

Mamidi P. · Reviewed about 2 months ago

Dicky I. · Reviewed about 2 months ago

Shruti T. · Reviewed about 2 months ago

Doesnt show in practice how triggers work

Oleg K. · Reviewed about 2 months ago

Ti T. · Reviewed about 2 months ago

Jayant G. · Reviewed about 2 months ago

Muhammad Fachrul R. · Reviewed about 2 months ago

good lab

Krishna B. · Reviewed about 2 months ago

Mausam T. · Reviewed about 2 months ago

AHMAD FURQON A. · Reviewed about 2 months ago

jyoti k. · Reviewed about 2 months ago

Deepali D. · Reviewed about 2 months 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 about 2 months ago

Shikha M. · Reviewed about 2 months ago

gulshan G. · Reviewed about 2 months ago

Jatin B. · Reviewed about 2 months ago