Caching and Datagroups with LookML avis

RAMU K. · Examiné il y a 4 mois

.

Ankita A. · Examiné il y a 4 mois

Shanu N. · Examiné il y a 4 mois

Efan W. · Examiné il y a 4 mois

N p. · Examiné il y a 4 mois

Mamidi P. · Examiné il y a 4 mois

Dicky I. · Examiné il y a 4 mois

Shruti T. · Examiné il y a 4 mois

Doesnt show in practice how triggers work

Oleg K. · Examiné il y a 4 mois

Ti T. · Examiné il y a 4 mois

Jayant G. · Examiné il y a 4 mois

Muhammad Fachrul R. · Examiné il y a 4 mois

good lab

Krishna B. · Examiné il y a 4 mois

Mausam T. · Examiné il y a 4 mois

AHMAD FURQON A. · Examiné il y a 4 mois

jyoti k. · Examiné il y a 4 mois

Deepali D. · Examiné il y a 4 mois

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. · Examiné il y a 4 mois

Shikha M. · Examiné il y a 4 mois

gulshan G. · Examiné il y a 4 mois

Jatin B. · Examiné il y a 4 mois

Akash G. · Examiné il y a 4 mois

Neha P. · Examiné il y a 4 mois

Arash J. · Examiné il y a 4 mois

Ambika P. · Examiné il y a 4 mois