In this Google Cloud Self-Paced Lab, you'll dive into the best methods to optimize query performance in Looker. Discover how to add persistence and incremental updates to derived tables, utilize aggregate awareness to optimize rolled up or summarized data queries, and refine existing explores for enhanced performance.
Throughout the course, you'll understand the impact of running big, complex queries repeatedly, and learn to avoid unnecessary strain on your database by appending new data to existing results. By the end, you'll be equipped with the knowledge and techniques to significantly enhance the performance of LookML queries.
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