Caching and Datagroups with LookML Reviews
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    Caching and Datagroups with LookML Reviews

    9179 reviews

    RAMU K. · Reviewed 4 месяцев ago

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    Ankita A. · Reviewed 4 месяцев ago

    Shanu N. · Reviewed 4 месяцев ago

    Efan W. · Reviewed 4 месяцев ago

    N p. · Reviewed 4 месяцев ago

    Mamidi P. · Reviewed 4 месяцев ago

    Dicky I. · Reviewed 4 месяцев ago

    Shruti T. · Reviewed 4 месяцев ago

    Doesnt show in practice how triggers work

    Oleg K. · Reviewed 4 месяцев ago

    Ti T. · Reviewed 4 месяцев ago

    Jayant G. · Reviewed 4 месяцев ago

    Muhammad Fachrul R. · Reviewed 4 месяцев ago

    good lab

    Krishna B. · Reviewed 4 месяцев ago

    Mausam T. · Reviewed 4 месяцев ago

    AHMAD FURQON A. · Reviewed 4 месяцев ago

    jyoti k. · Reviewed 4 месяцев ago

    Deepali D. · Reviewed 4 месяцев 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 4 месяцев ago

    Shikha M. · Reviewed 4 месяцев ago

    gulshan G. · Reviewed 4 месяцев ago

    Jatin B. · Reviewed 4 месяцев ago

    Akash G. · Reviewed 4 месяцев ago

    Neha P. · Reviewed 4 месяцев ago

    Arash J. · Reviewed 4 месяцев ago

    Ambika P. · Reviewed 4 месяцев ago

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