Spark Tutorials for Beginners

Overview

This course aims to help beginners learn Spark in Big Data by covering topics such as Spark basics, Spark Architecture, RDD, Spark SQL, and Spark Streaming. The course teaches how to set up and install Spark, write Spark programs using RDD in Java, understand RDD transformations and actions, work with Spark SQL, and explore Spark Streaming. The teaching method includes step-by-step guides, code demos, live demos, and sample program codes. The intended audience for this course is beginners who are interested in learning about Spark in the context of Big Data.

Syllabus

What is Spark? - Spark Tutorials For Beginners.
Spark Setup And Installation | Run Your First Spark Program | Step By Step Guide And Code Demo.
How Spark Executes A Program | Introduction To Driver Manager, Executor, Spark Context & RDD.
Write First Standalone Spark Job Using RDD In Java | Beginner's Guide To Spark.
What Is RDD In Spark | Session 1 | RDD Basics | Resilient Distributed Dataset.
RDD Transformations In Spark | Session 2 | Resilient Distributed Dataset.
RDD Actions In Spark | Session 3 | Resilient Distributed Dataset.
RDD Persistence In Spark | Resilient Distributed Dataset | Spark Tutorials For Beginners.
Learn Spark SQL In 30 Minutes - Apache Spark Tutorial For Beginners.
Broadcast vs Accumulator Variable - Broadcast Join & Counters - Apache Spark Tutorial For Beginners.
Spark Client Mode Vs Cluster Mode - Apache Spark Tutorial For Beginners.
Spark UDF - Sample Program Code Using Java & Maven - Apache Spark Tutorial For Beginners.
Spark Streaming - Apache Spark Tutorial For Beginners.
Structured Streaming - Apache Spark Tutorial For Beginners.
[Live Demo] Spark Window Functions | Spark Aggregate Functions | Spark Structured Streaming Tutorial.
[Live Demo] Spark Streaming With Kafka | Read, Parse And Transform Kafka Json In Spark.
[Live Demo] Checkpointing In Spark Streaming | Fault Tolerance & Recovering From Failure In Spark.