Spark Basics

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Beginner

Level

3.0 Hrs

Learning hours

17K+
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Skills you’ll Learn

About this Course

Spark is a framework that provides support to the applications while retaining the scalability and fault tolerance of MapReduce. Spark tools provide abstractions called resilient distributed datasets (RDDs), a read-only set of objects partitioned across a set of devices to meet the user requirements. These machines rebuild partitions if they are lost. 

 


The Spark Basics course will first talk about the basics and later explain the difference between Hadoop and Spark. You will also understand spark architecture and learn about RDDs in this course. Spark can outperform Hadoop by 10x in iterative machine learning jobs and can be used to query a vast dataset with a sub-second response time interactively. Later, you will learn RDDs in this free Spark course. You will be able to work confidently with the tool at the end of this Spark Basics course.


 
Some top universities from India, such as PES University and SRM University, have collaborated with Great Learning and designed several Master’s Degree Programs in Data Science. You can enroll in India’s top-ranked online Data Science courses and earn a Master’s Degree Certificate in the highest-rated Data Science online course from these reputed universities after completing the course. The faculty and mentors of these courses are various experienced industry practitioners in Data Science. Our primary objective is to help our learners excel in their Data Science careers by providing the best curriculum. 
 

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Course Outline

Introduction to Spark
Spark vs Hadoop
Spark Architecture
RDDs
Spark Terminologies

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Spark Basics

3.0 Learning Hours . Beginner

Why upskill with us?

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700+ free courses
In-demand skills & tools
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Free life time Access