Spark Starter Kit Free Course

★★★★★

NOT another "What is Spark?" course ! Explore Spark in depth and get a strong foundation in Spark.

What Will I Learn?

• Learn about the similarities and differences between Spark and Hadoop.
• Explore the challenges Spark tries to address, you will give you a good idea about the need for spark.
• Learn “How Spark is faster than Hadoop?”, you will understand the reasons behind Spark’s performance and efficiency.
• Before we talk about what is RDD, we explain in detail what is the need for something like RDD.
• You will get a strong foundantion in understanding RDDs in depth and then we take a step further to point out and clarify some of the common misconceptions about RDD among new Spark learners.
• You will understand the types of dependencies between RDD and more importantly we will see why dependencies are important.
• We will walk you through step by step how the program we write gets translated in to actual execution behind the scenes in a Spark cluster.
• You will get a very good understanding of some of the key concepts behind Spark’s execution engine and the reasons why it is efficient.
• Master fault tolerance by simulating a fault situation and examine how Spark recover from it.
• You will learn how memory and the contents in memory are managed by spark.
• Understand the need for a new programming language like Scala.
• Examine object oriented programming vs. functional programming.
• Explore Scala's features and functions.

Requirements

• Basic Hadoop concepts. Don't know Hadoop ? Don't worry, sign up for our free Hadoop Starter Kit course.

Target audience

• Anyone who is interested in distributed systems and computing and big data related technologies.