Caching and Datagroups with LookML Ulasan
9179 ulasan
RAMU K. · Diulas 4 bulan lalu
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Ankita A. · Diulas 4 bulan lalu
Shanu N. · Diulas 4 bulan lalu
Efan W. · Diulas 4 bulan lalu
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Dicky I. · Diulas 4 bulan lalu
Shruti T. · Diulas 4 bulan lalu
Doesnt show in practice how triggers work
Oleg K. · Diulas 4 bulan lalu
Ti T. · Diulas 4 bulan lalu
Jayant G. · Diulas 4 bulan lalu
Muhammad Fachrul R. · Diulas 4 bulan lalu
good lab
Krishna B. · Diulas 4 bulan lalu
Mausam T. · Diulas 4 bulan lalu
AHMAD FURQON A. · Diulas 4 bulan lalu
jyoti k. · Diulas 4 bulan lalu
Deepali D. · Diulas 4 bulan lalu
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. · Diulas 4 bulan lalu
Shikha M. · Diulas 4 bulan lalu
gulshan G. · Diulas 4 bulan lalu
Jatin B. · Diulas 4 bulan lalu
Akash G. · Diulas 4 bulan lalu
Neha P. · Diulas 4 bulan lalu
Arash J. · Diulas 4 bulan lalu
Ambika P. · Diulas 4 bulan lalu
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