Spark Starter Kit

Spark Starter Kit, available at Free, has an average rating of 4.61, with 17 lectures, based on 4484 reviews, and has 67824 subscribers.

You will learn about 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. This course is ideal for individuals who are Anyone who is interested in distributed systems and computing and big data related technologies. It is particularly useful for Anyone who is interested in distributed systems and computing and big data related technologies.

Enroll now: Spark Starter Kit

Summary

Title: Spark Starter Kit

Price: Free

Average Rating: 4.61

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: Free

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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

Target Audiences

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