Optimizing how data is retrieved from storage or databases, read optimization minimizes latency and boosts throughput. It involves techniques like indexing, caching, and query tuning to deliver faster responses. This practice benefits developers, data engineers, and businesses running high-traffic applications, ensuring smoother user experiences and more efficient resource utilization. Ultimately, it transforms sluggish data access into a seamless, high-performance operation.
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