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Hadoop Platform and Application Framework
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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.

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4

1,49,622 Enrolled

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English

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olive-leaves-logo

4

1,49,622 Enrolled

olive-leaves-logo

English

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

Python Programming
Apache Hadoop
MapReduce
Apache Spark
HDFS
Big Data Analysis

This course includes:

276 Minutes PreRecorded video

11 quizzes,4 programming assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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.

Hadoop Platform and Application Framework

Beginner

Skill Level

24 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

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.