Big Data Hadoop: Hands-On Course for Beginners
Learn the fundamentals of Big Data Hadoop with this Hands-On for Beginner course
Updated on Jun, 2025
Language - English
Development ,Data Science,Big Data
Lectures -256
Resources -4
Duration -13.5 hours
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Course Description
In this course, you will learn Big Data using Apache Hadoop. Why Hadoop? It is one of the most sought-after skills in the IT industry. The average salary in the US is $112,000 per year, up to an average of $160,000 in San Fransisco (source: Indeed).
This course is designed for Beginners in Apache Hadoop Development and those looking for a new job as a Data Engineer, Big data Engineers or Developer, Software Developer.
The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem but you'll go hands-on and learn how to use them to solve real business problems! Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.
You will learn how to use the most popular software in the Big Data industry at the moment, using batch processing as well as real-time processing.
We will also learn:
Introduction to Big Data.
Three Vs of Big Data.
How Big is BIG DATA?
How analysis of Big Data is useful for organizations?
What is Hadoop?
Why Hadoop and its Use Cases.
Different Ecosystems of Hadoop.
Structured Unstructured Semi-Structured Data.
Apache Hadoop 3.3.0 Single Node Installation on Windows 10.
HDFS (Shell Commands Hands-On).
HDFS Architecture.
Data Replication.
HDFS Snapshots.
YARN Architecture.
You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus, a valuable completion certificate will be waiting for you in the end!
Please note that the focus of this course is on application development, not Hadoop administration. You will also learn some administration skills along the way.
Goals
- Fundamentals of Big Data.
- Basics of Apache Hadoop.
- Hadoop Distributed File System (HDFS) hands-on Commands.
- Basics of YARN Architecture.
- Installing Single Node Hadoop System on Windows 10 System.
- HDFS (Shell Commands Hands-On).
- HDFS Architecture.
- Data Replication.
- HDFS Snapshots.
Prerequisites
- You need to have a Windows 10 Operating System to have a practical Experience.
- A minimum of 8 GB RAM is recommended.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Big Data
7 Lectures
-
Introduction
02:53
02:53
-
Introduction to Big Data
03:42
03:42
-
Three Vs of Big Data
01:51
01:51
-
How Big is BIG DATA?
01:21
01:21
-
How analysis of Big Data is useful for organizations?
02:01
02:01
-
Challenges of Traditional Systems
01:26
01:26
-
Big Data Engineering Learning Roadmap
03:28
03:28
Introduction to HADOOP
13 Lectures
Apache Hadoop 3.3.0 Single Node Installation on Windows 10
4 Lectures
Apache Hadoop 3.3.0 Single Node Installation on Ubuntu Linux
4 Lectures
HDFS (Hadoop Distributed File System)
40 Lectures
HDFS and YARN Architecture
14 Lectures
YARN
6 Lectures
MapReduce
16 Lectures
FAQ in Apache Hadoop and MapReduce Interview
9 Lectures
Apache Pig
27 Lectures
Apache Pig - Built In Functions
12 Lectures
FAQ in Apache Pig
9 Lectures
Apache Sqoop
3 Lectures
Importing Data with Apache Sqoop
14 Lectures
Exporting Data with Apache Sqoop
2 Lectures
Apache Flume
9 Lectures
Apache Hive
30 Lectures
FAQ in Apache Hive
8 Lectures
Apache Kafka
8 Lectures
Kafka Command-Line Interface (CLI) Tools
10 Lectures
Kafka Topic Operations
5 Lectures
Python using Databricks
5 Lectures
Instructor Details
Bigdata Engineer
I am Solution Architect with 12+ year’s of experience in Banking, Telecommunication and Financial Services industry across a diverse range of roles in Credit Card, Payments, Data Warehouse and Data Center programmes
My role as Bigdata and Cloud Architect to work as part of Bigdata team to provide Software Solution.
Responsibilities includes,
- Support all Hadoop related issues
- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies
- Analyse and Define pros and cons of various technologies and platforms
- Define use cases, solutions and recommendations
- Define Big Data strategy
- Perform detailed analysis of business problems and technical environments
- Define pragmatic Big Data solution based on customer requirements analysis
- Define pragmatic Big Data Cluster recommendations
- Educate customers on various Big Data technologies to help them understand pros and cons of Big Data
- Data Governance
- Build Tools to improve developer productivity and implement standard practices
I am sure the knowledge in these courses can give you extra power to win in life.
All the best!!
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