Optimizing Performance of LookML Queries Reviews
24501 reviews
Aachal S. · Reviewed 2 months ago
Parth W. · Reviewed 2 months ago
poushali c. · Reviewed 2 months ago
Siva K. · Reviewed 2 months ago
good
navid b. · Reviewed 2 months ago
amazing experience by gaining a new technology experience
Premnath S. · Reviewed 2 months ago
Better
irfan a. · Reviewed 2 months ago
Better
irfan a. · Reviewed 2 months ago
Good
irfan a. · Reviewed 2 months ago
Shanky P. · Reviewed 2 months ago
Gimeth Ileana T. · Reviewed 2 months ago
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Pravek R. · Reviewed 2 months ago
Julian J. · Reviewed 2 months ago
Agrima g. · Reviewed 2 months ago
Cardin C. · Reviewed 2 months ago
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.
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Brayan Alexis M. · Reviewed 2 months ago
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