Description: Pushdown is a technique used in data processing systems, especially in big data environments, that aims to optimize queries by moving operations closer to the data source. This strategy reduces the amount of data that needs to be transferred and processed, thereby improving overall system efficiency and performance. By performing operations where the data resides, communication costs are minimized, and computational resources are better utilized. Pushdown can be applied to various operations, such as filters, projections, and aggregations, and is fundamental in the context of distributed processing, where latency and bandwidth can be limiting factors. This technique not only speeds up queries but also allows for more efficient use of memory and storage, resulting in faster and more effective processing of large volumes of data. In summary, pushdown is a key strategy in query optimization in data processing systems, enabling more efficient resource management and significant performance improvements in applications that rely on large datasets.
