This course introduces beginners to the foundational and intermediate concepts of distributed data processing using Apache Spark, one of the most powerful engines for large-scale analytics. Through two progressively structured modules, learners will identify Spark’s architecture, describe its core components, and demonstrate key programming constructs such as Resilient Distributed Datasets (RDDs).
Apache Spark: Apply & Evaluate Big Data Workflows
Discover new skills with $120 off courses from industry experts. Save now.
Apache Spark: Apply & Evaluate Big Data Workflows
This course is part of Spark and Python for Big Data with PySpark Specialization
Instructor: EDUCBA
Included with 
Gain insight into a topic and learn the fundamentals.
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Describe Spark architecture, core components, and RDD programming constructs.
Apply transformations, persistence, and handle multiple file formats in Spark.
Develop scalable workflows and evaluate Spark applications for optimization.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
August 2025
Assessments
6 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Spark and Python for Big Data with PySpark Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
This module introduces learners to the foundational concepts of Apache Spark, a powerful open-source engine designed for big data processing and analytics. Through a series of structured lessons, learners explore the Spark architecture, its core components, and essential programming constructs. The module builds a conceptual understanding of how Spark leverages distributed computing and in-memory processing, followed by a practical introduction to working with Resilient Distributed Datasets (RDDs), Spark’s core abstraction for handling data. By the end of the module, learners will be equipped with the knowledge needed to initiate basic data operations in Spark and understand its high-level architecture.
What's included
5 videos3 assignments
This module deepens the learner’s understanding of Apache Spark by focusing on advanced RDD transformations, persistence strategies, operations on key-value (Pair) RDDs, and the efficient handling of diverse data formats. Learners will explore how to apply transformations like map, flatMap, and reduceByKey, understand the role and configuration of persistence levels in Spark, manipulate Pair RDDs using sorting and grouping actions, and work with commonly used file formats including CSV, JSON, Parquet, and Avro. The module equips learners with the ability to optimize Spark applications both computationally and in terms of data storage and processing.
What's included
6 videos3 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Explore more from Data Analysis
Status: Free TrialÉcole Polytechnique Fédérale de Lausanne
- Status: Preview
École Polytechnique Fédérale de Lausanne
Status: Free Trial
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
More questions
Financial aid available,