리뷰 LookML 쿼리의 성능 최적화하기개

Parth W. · 3개월 전에 리뷰됨

poushali c. · 3개월 전에 리뷰됨

Siva K. · 3개월 전에 리뷰됨

good

navid b. · 3개월 전에 리뷰됨

amazing experience by gaining a new technology experience

Premnath S. · 3개월 전에 리뷰됨

Better

irfan a. · 3개월 전에 리뷰됨

Better

irfan a. · 3개월 전에 리뷰됨

Good

irfan a. · 3개월 전에 리뷰됨

Shanky P. · 3개월 전에 리뷰됨

Gimeth Ileana T. · 3개월 전에 리뷰됨

sarat c. · 3개월 전에 리뷰됨

Sharib M. · 3개월 전에 리뷰됨

Pravek R. · 3개월 전에 리뷰됨

Julian J. · 3개월 전에 리뷰됨

Agrima g. · 3개월 전에 리뷰됨

Cardin C. · 3개월 전에 리뷰됨

This lab provided a very insightful and hands-on introduction to optimizing query performance using Looker. I particularly appreciated the practical approach, which allowed me to work directly with persistent derived tables (PDTs), incremental updates, and aggregate awareness in a real cloud environment. The step-by-step structure made it easy to follow, even for beginners, while still covering advanced concepts like efficient joins and performance tuning. Creating and testing incremental PDTs and aggregate tables helped me clearly understand how Looker improves query efficiency and reduces database load. The lab also gave valuable exposure to monitoring PDT builds and understanding the difference between development and production environments, which is very useful for real-world applications. Overall, this was a well-designed lab that strengthened both my conceptual understanding and practical skills in data analysis and optimization using Looker. I feel more confident in working with LookML and performance optimization techniques after completing this exercise.

Naga A. · 3개월 전에 리뷰됨

SUDHIR K. · 3개월 전에 리뷰됨

William B. · 3개월 전에 리뷰됨

Ayush R. · 3개월 전에 리뷰됨

Nidhi D. · 3개월 전에 리뷰됨

Bhupendra Y. · 3개월 전에 리뷰됨

DS R. · 3개월 전에 리뷰됨

Brayan Alexis M. · 3개월 전에 리뷰됨

Charul M. · 3개월 전에 리뷰됨