Lessons
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Lesson 1
Understanding how the database engine interprets queries reveals opportunities for transformation that minimize resource consumption and execution time.
Lesson 2
Effective indexing balances read and write performance, significantly accelerating data retrieval without incurring excessive maintenance overhead.
Lesson 3
Partitioning and sharding distribute data horizontally, reducing query scope and improving scalability for large datasets.
Lesson 4
Analyzing lock patterns provides insights to design transactions that minimize contention, thereby enhancing concurrency and throughput.
Lesson 5
Leveraging materialized views and caching techniques transforms complex calculations into rapid data access, drastically decreasing query response times.
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