This "Spark Streaming Tutorial" will help you to master all the concepts of Spark Streaming. Spark Streaming is an extension of the core Spark API that allows data engineers and data scientists to process real-time data from various sources including (but not limited to) Kafka, Flume, and Amazon Kinesis. This processed data can be pushed out to file systems, databases, and live dashboards.
Through this Spark Streaming tutorial, you will learn the basics of Spark Streaming that includes why there is a need for streaming in Spark, How it can be used in real-time analysis, and much more. At the end of the video, you will have a better hold over the Spark streaming sources and various Streaming Operations.
Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads. This video will help you to understand every aspect of Spark Streaming along with the examples and visuals for better understanding.
