Dive into the world of Apache Spark with this comprehensive 5-hour tutorial series designed for beginners. Learn essential concepts including Spark basics, architecture, internal workings, Resilient Distributed Datasets (RDD), Spark SQL, and Spark Streaming. Follow step-by-step guides and code demonstrations to set up Spark, run your first program, and understand key components like Driver Manager, Executor, and Spark Context. Explore RDD transformations, actions, and persistence, then progress to advanced topics such as Spark SQL, broadcast variables, accumulators, and deployment modes. Gain practical experience with hands-on sessions on User-Defined Functions (UDF), structured streaming, window functions, and integration with Kafka. Master fault tolerance techniques and checkpointing in Spark Streaming to build robust, scalable Big Data applications.