![]() ![]() ![]() It stores the intermediate processing data in memory. This is possible by reducing number of read/write operations to disk. Speed − Spark helps to run an application in Hadoop cluster, up to 100 times faster in memory, and 10 times faster when running on disk.Apart from supporting all these workload in a respective system, it reduces the management burden of maintaining separate tools. Spark is designed to cover a wide range of workloads such as batch applications, iterative algorithms, interactive queries and streaming. The main feature of Spark is its in-memory cluster computing that increases the processing speed of an application. It is based on Hadoop MapReduce and it extends the MapReduce model to efficiently use it for more types of computations, which includes interactive queries and stream processing. Apache Spark is a lightning-fast cluster computing technology, designed for fast computation. ![]()
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June 2023
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