Spark Streaming is very much useful for streaming data and also it enables fault-tolerant and high-throughput for live data. DStream is the fundamental unit which is the series of Resilient Distributed Datasets (RDD). The data from HDFS, Flume can be streamed to process them in live dashboards, file systems, and databases. The real-time data from different sources like Geographical systems, Stock market, and Twitter can be streamed by using this Spark streaming process.