In this course you will learn about Spark like how to it process large amount of data (100 times faster than MapReduce), how it provides in-memory cluster along with how it runs on top of Hadoop or in the cloud.

• Module 1 – Introduction to Spark – Getting started
• Module 2 – Resilient Distributed Dataset and DataFrames
• Module 3 – Spark application programming
• Module 4 – Introduction to Spark libraries
• Module 5 – Spark configuration, monitoring and tuning

Duration: 5 Hours

Mode: Self-Paced

Course Level: Beginner

Fees: Free

Knowledge of Apache Hadoop and Big Data, Linux and any programming language