Caching and Datagroups with LookML avaliações

RAMU K. · Revisado há 4 months

.

Ankita A. · Revisado há 4 months

Shanu N. · Revisado há 4 months

Efan W. · Revisado há 4 months

N p. · Revisado há 4 months

Mamidi P. · Revisado há 4 months

Dicky I. · Revisado há 4 months

Shruti T. · Revisado há 4 months

Doesnt show in practice how triggers work

Oleg K. · Revisado há 4 months

Ti T. · Revisado há 4 months

Jayant G. · Revisado há 4 months

Muhammad Fachrul R. · Revisado há 4 months

good lab

Krishna B. · Revisado há 4 months

Mausam T. · Revisado há 4 months

AHMAD FURQON A. · Revisado há 4 months

jyoti k. · Revisado há 4 months

Deepali D. · Revisado há 4 months

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. · Revisado há 4 months

Shikha M. · Revisado há 4 months

gulshan G. · Revisado há 4 months

Jatin B. · Revisado há 4 months

Akash G. · Revisado há 4 months

Neha P. · Revisado há 4 months

Arash J. · Revisado há 4 months

Ambika P. · Revisado há 4 months