Free Spark Course for Beginners

Spark Basics

star 4.55  Beginner level 3.0 learning hrs 19.3K+ Learners

Enroll In Online Spark free course and get a completion certificate. Plus, access over 1,000 additional free courses with certificates—just sign up for free!

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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

Get access to the complete curriculum once you enroll in the course

Spark Basics

rating icon 4.55

3.0 Hours

Beginner

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19.3K+ learners enrolled so far

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Master in-demand skills & tools

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Test your skills with quizzes

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Learner reviews of the Free Courses

4.55
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Reviewer Profile

5.0

“Spark: PySpark | Big Data | Data Engineering”
The PySpark course provided a solid understanding of distributed data processing with Apache Spark. I especially appreciated how the course focused on both batch and real-time data processing, which is crucial for big data applications. The hands-on projects gave me a practical understanding of working with large datasets efficiently. The scalability and performance of Spark are truly impressive. Overall, this course is a must for anyone looking to deepen their knowledge of big data and data engineering!
Reviewer Profile

5.0

Country Flag India
“An Insightful Journey into Distributed Computing and Machine Learning with Apache Spark”
I thoroughly enjoyed diving into Apache Spark, learning how it powers big data processing and real-time stream analytics. The hands-on experience with Spark's machine learning library and stream processing capabilities opened my eyes to the power of distributed computing. I especially liked the ease of use and the versatility Spark offers in terms of handling various types of data, from batch processing to real-time analysis. It was a valuable addition to my knowledge in data science and cloud computing.
Reviewer Profile

5.0

Country Flag India
“Exploring the Power of Distributed Computing with Spark”
I enjoyed learning about Apache Spark and its versatile capabilities for big data processing. The hands-on experience with RDDs, machine learning algorithms, and stream processing helped me understand the importance of scalability and fault tolerance. The in-memory computing aspect made it stand out as a faster alternative to traditional frameworks like Hadoop, and I appreciated how interactive analysis can be performed efficiently. Overall, it was a valuable experience that broadened my understanding of distributed systems.
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.
Reviewer Profile

5.0

Country Flag India
“"Great learning experience with Spark and Data Processing"”
"I liked how Apache Spark integrates multiple functionalities like machine learning, interactive data analysis, and stream processing in one unified framework. The ability to work with large datasets efficiently and perform real-time processing was particularly exciting, and I found the Spark API intuitive for building scalable applications." You can adjust these based on your actual experience with the topic.
Reviewer Profile

5.0

Country Flag India
“Easy to follow the step by step, Good for someone who is new to this and can enjoy learning quick and crisp. i recommend for all, one can opt his ”
I gained a solid understanding of Apache Spark basics, including its architecture and components. I learned how to process large datasets efficiently using Spark’s distributed computing framework. The course also covered essential concepts like RDDs, DataFrames, and Spark SQL, which enhanced my knowledge of big data analytics
Reviewer Profile

5.0

Country Flag India
“Fast, distributed data processing of Spark Basics”
Spark Basics course offers a great introduction to fast, distributed data processing. Clear concepts, practical examples, and hands-on experience make learning enjoyable.
Reviewer Profile

4.0

Country Flag Saudi Arabia
“The Apache Spark course offers a comprehensive introduction to distributed data processing”
, focusing on its key features such as RDDs, fault tolerance, and cluster management. It effectively covers Spark's applications, including interactive data analysis, machine learning, and stream processing, making it versatile for real-world scenarios. However, the course could benefit from deeper dives into advanced optimization techniques and real-life project implementations. Hands-on examples and a balance between theory and practice make it suitable for both beginners and intermediate learners.
Reviewer Profile

5.0

Country Flag Saudi Arabia
“Nice Course for Aspiring Big Data Professionals”
Nice course for everyone who wants to become a professional in big data and more.
Reviewer Profile

5.0

“Stream Processing, Interactive Data Analysis, Machine Learning Algorithms”
Stream processing, interactive data analysis, and machine learning algorithms are all covered in this course.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

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. 

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.

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.

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