Hadoop Platform and Application Framework
Learn Hadoop and Spark for big data analysis. Master MapReduce, HDFS, and core tools for wrangling and analyzing large datasets.
Course Cost
₹ 2,699
Beginner
Skill Level
24 Hours
Self-paced lessons
This course introduces novice programmers and business professionals to the core tools used in big data analysis. Focusing on Hadoop and Spark frameworks, it covers HDFS, MapReduce, and Spark RDDs. Through hands-on examples, learners will understand Hadoop architecture, execution environments, and fundamental big data concepts. The course emphasizes practical skills in using Hadoop stack components and designing MapReduce tasks.
What you'll learn
Understand the Hadoop ecosystem and its major components
Explain the architecture and functionality of HDFS
Design and implement MapReduce tasks for data processing
Use Apache Spark for iterative algorithms and in-memory computing
Apply Hadoop and Spark to solve fundamental big data problems
Navigate the Hadoop execution environment and resource scheduling
Use Hadoop-based applications like Pig, Hive, and HBase
Implement data processing pipelines using Python and Scala in Spark
Skills you'll gain
This course includes:
276 Minutes PreRecorded video
11 quizzes,4 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This course provides a comprehensive introduction to Hadoop and its ecosystem for big data processing. It covers the Hadoop Distributed File System (HDFS), MapReduce programming model, and Apache Spark framework. Students learn about the Hadoop stack, including YARN, Tez, Pig, Hive, and HBase. The curriculum includes hands-on practice with HDFS commands, MapReduce programming, and Spark RDD operations. By the end of the course, learners will be able to design and implement big data processing tasks using Hadoop and Spark.
Hadoop Basics
Module 1 · 2 Hours to complete
Introduction to the Hadoop Stack
Module 2 · 3 Hours to complete
Introduction to Hadoop Distributed File System (HDFS)
Module 3 · 3 Hours to complete
Introduction to Map/Reduce
Module 4 · 7 Hours to complete
Spark
Module 5 · 9 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.







