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Spark Basics

Enroll In Online Spark Free Course & Get Free Certificate On Completion. Also Get Access To 1000+ Free Courses With Free Certificates Now. No Ads Or Payment. Just Sign Up For Free!

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3.0 Hrs

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16.9K+
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About this Free Certificate 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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Ratings & Reviews of this Course

Reviewer Profile
Mussadiq Abdul Rahim

5.0

“In-Depth and Comprehensive Spark Fundamentals Learning Experience”
I thoroughly enjoyed this course! The depth of the topics covered and the well-structured curriculum made it engaging and informative. The instructor's teaching style was clear and easy to follow, making complex concepts accessible.
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Anish B T

5.0

“Truly Inspiring and Insightful Course”
I am a beginner, and this course helped me grasp the core ideas and terminologies of Spark.
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Gabby Morgana Alfaro

5.0

“What an Experience! I've Enjoyed a Lot! :)”
That was the knowledge I expected about the technology. Thanks a lot!
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Spark Basics

3.0 Learning Hours . Beginner

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Frequently Asked Questions

What are the Spark basics?

Spark is a fast, general, and multi-language engine for large-scale data processing. It is designed to cover a wide range of workloads such as batch processing, interactive queries, and streaming. It has a simple and expressive programming model that supports various applications. Spark is scalable, and it can run on a single machine or a cluster of thousands of machines.

Is it easy to learn Spark?

The main dependency is on the learner and his calibre. If you are well aware of the basics of Python programming language or any other computer programming language, learning Sparks is easier. Sparks keeps up with its promise and is easy to use and understand. You can now effectively learn Spark Basics by enrolling in Great Learning’s free Spark Basics course and attain a free certificate on completing the course.

How do I start programming in Spark?

To start with Spark, first, be familiar with the programming languages that are utilized to implement it, like Python or other programming languages. You can start learning it by going through a few helpful tutorials, blog posts, articles, or by stepping a step ahead you can enroll in the free Spark Basics course Great Learning offers and learn it from scratch.

Is Databricks the same as Spark?

No, Databricks is not the same as Spark. Databricks is a cloud-based platform for data analytics, while Spark is an open-source data processing engine. Databricks has a modified spark instance as a core known as Databricks Runtime.

What is RDD in Spark?

RDD stands for Resilient Distributed Dataset. It is the primary data structure in Apache Spark. RDDs are immutable, meaning they cannot be changed after they are created. RDD is a fault-tolerant group of elements that can be operated in parallel. They are generated by transforming existing datasets.

What are Spark and Scala?

Spark and Scala are both open-source projects. Spark comes under a general-purpose data processing engine that can be used for a variety of data processing tasks, such as batch processing, real-time processing, and machine learning. Scala is a programming language that can be used to create Spark applications.

What is reduced by key in Spark?

Reduced by key in Spark is a transformation that returns a new dataset where the values for each key are aggregated using a user-defined function. It is helpful in many ways as it helps to remove a lot of duplicate data and helps to handle large data sets. You can learn more about such functions in Spark by enrolling in Great Learning’s free Spark Basics course.

What does collect() do in Spark?

Collect() is an action that returns all the elements of the RDD to the driver program. The collect() function returns all the dataset elements as an array at the driver program. This is usually helpful after a filter or other operation that returns an adequately small subset of the data. Learn Spark Basics and its function in detail by enrolling in Great Learning’s free Spark Basics course and achieving a free certificate of course completion.

Will I get a certificate after completing this Spark Basics free course?

Yes, you will get a certificate of completion for Spark Basics after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Spark Basics course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Spark Basics can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Spark Basics course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Spark Basics course?

Great Learning Academy provides this Spark Basics course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Spark Basics course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Spark Basics course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

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Spark Basics Course

Apache Spark is an open-source, distributed computing framework used for processing big data. Spark can process data in batch and real-time modes and supports multiple programming languages like Scala, Python, and R. It was developed to address the limitations of the Hadoop MapReduce computing model, making it much faster and easier to use.

One of the key benefits of Apache Spark is its speed, which is achieved through in-memory computing and an optimized execution engine. Spark also provides a wide range of built-in libraries for tasks like SQL, machine learning, and graph processing. This makes it easier for data scientists and engineers to work with large datasets without having to write complex code from scratch.

In terms of use cases, Apache Spark is widely used in industries such as finance, healthcare, and e-commerce for tasks like data processing, data analysis, and machine learning model development. Spark can handle both structured and unstructured data, making it an ideal tool for big data processing.
 

 

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