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Spark Streaming is essential functionality for the Apache Spark API that provides live data streams that are scalable and fault-tolerant. This helps the Apache Spark engine to more effectively support workloads.
Along with Spark’s unique execution engine build and programming model, Spark Streaming helps to provide good load-balancing, fast failure recovery, integration and other goals and objectives. Unlike in traditional systems, tasks are scheduled based on available resources. Dynamic scheduling helps with distribution. These and other design improvements make Spark Streaming a popular method for using this Apache open-source tool.