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 Scalas 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 Scalas 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.

When our students asked us to create a course on Spark,?we looked at other Spark related courses in the market and also what are some of the common questions students are asking in websites like stackoverflow?and other forums when they try to learn Spark and we saw a recurring theme.

Most courses and other online help including Spark’s documentation is not good in helping students understand the foundational concepts.?They explain what is Spark, what is RDD, what is “this” and what is “that” but students were most interested in understanding core fundamentals and more importantly answer questions like –?

1. Why do we need Spark when we have Hadoop ??
2. What is the need for RDD ?
3. How Spark is faster than Hadoop?
4. How Spark achieves the speed and efficiency it claims ?
5. How does memory gets managed in Spark?
6. How fault tolerance work in Spark ?

and that is exactly what you will learn in this free Spark Starter Kit course.?The aim of this course is to give you a strong foundation in Spark.

Course Curriculum

Chapter 1: Get Set GO !

Lecture 1: Lets get started

Lecture 2: Running Spark on your computer

Chapter 2: Introduction to Spark

Lecture 1: Spark vs. Hadoop – who wins ?

Lecture 2: Challenges Spark tries to address

Lecture 3: How Spark is faster than Hadoop ?

Chapter 3: RDD – Core of Spark

Lecture 1: The need for RDD

Lecture 2: What is RDD ?

Lecture 3: What an RDD is not

Chapter 4: Execution in Spark (Behind the scenes)

Lecture 1: First program in Spark

Lecture 2: What are dependencies & why they are important ?

Lecture 3: Program to Execution (Part 1)

Lecture 4: Program to Execution (Part 2)

Chapter 5: 2 important concepts in Spark

Lecture 1: Memory management

Lecture 2: Fault tolerance

Chapter 6: A short chapter on Scala

Lecture 1: Introduction to Scala

Lecture 2: First program in Scala (not Hello World)

Lecture 3: Scala functions

Instructors

Big Data In Real World
Expert Big Data Consultants

Rating Distribution

1 stars: 32 votes

2 stars: 68 votes

3 stars: 402 votes

4 stars: 1613 votes

5 stars: 2369 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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