关于“Caching and Datagroups with LookML”的评价

RAMU K. · 已于 4 months前审核

.

Ankita A. · 已于 4 months前审核

Shanu N. · 已于 4 months前审核

Efan W. · 已于 4 months前审核

N p. · 已于 4 months前审核

Mamidi P. · 已于 4 months前审核

Dicky I. · 已于 4 months前审核

Shruti T. · 已于 4 months前审核

Doesnt show in practice how triggers work

Oleg K. · 已于 4 months前审核

Ti T. · 已于 4 months前审核

Jayant G. · 已于 4 months前审核

Muhammad Fachrul R. · 已于 4 months前审核

good lab

Krishna B. · 已于 4 months前审核

Mausam T. · 已于 4 months前审核

AHMAD FURQON A. · 已于 4 months前审核

jyoti k. · 已于 4 months前审核

Deepali D. · 已于 4 months前审核

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. · 已于 4 months前审核

Shikha M. · 已于 4 months前审核

gulshan G. · 已于 4 months前审核

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Ambika P. · 已于 4 months前审核