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Big Data and Hadoop for Beginners - with Hands-on!

Name: Big Data and Hadoop for Beginners - with Hands-on!
Rating: 4.2 (2072 reviews)

Everything you need to know about Big Data, and Learn Hadoop, HDFS, MapReduce, Hive & Pig by designing Data Pipeline.

Created byAndalib Ansari

Last updated 7/2025

English

What you'll learn

Understand different technology trends, salary trends, Big Data market and different job roles in Big Data
Understand what Hadoop is for, and how it works
Understand complex architectures of Hadoop and its component
Hadoop installation on your machine
Understand how MapReduce, Hive and Pig can be used to analyze big data sets
High quality documents
Demos: Running HDFS commands, Hive queries, Pig queries
Sample data sets and scripts (HDFS commands, Hive sample queries, Pig sample queries, Data Pipeline sample queries)
Start writing your own codes in Hive and Pig to process huge volumes of data
Design your own data pipeline using Pig and Hive
Understand modern data architecture: Data Lake
Practice with Big Data sets

Course content

7 sections • 32 lectures • 2h 59m total length

Welcome to the Course3:49
a brief introduction about the course, and what you need to get started.

Introduction to Big Data9:23
This high level introduction will help you understand what Big Data is for, how they are being generated, who are using it, and how we can use it.
Job Roles in Big Data6:30
This lecture discusses about different job roles required in the Big Data Industry. It will also help you understand what are the skills you need to have for a specific job role in Big Data.
Salary Analysis2:55
Understand salaries trend across different job roles in Big Data.
Technology Trends in the Market6:30
Understand why Big Data is so disrupting. Learn what are the latest technology trends in the market, and how Big Data is playing an important role.
Advice for Big Data Beginners2:45
Being a beginner, this lecture talks about how you should start with Big Data, and how you should proceed.

Introduction to Hadoop8:23
In this lecture, we will learn about history of Hadoop, Hadoop Data Storage engine and Hadoop Data Processing engine with a very nice and simple demo to understand how it works.
Hadoop Ecosystem5:01
In this lecture, we will understand what are the components in Hadoop Ecosystem, and how they work with each other.
Hadoop 1.x vs Hadoop 2.x14:13
Here we will learn about architecture of Hadoop, different versions of Hadoop ( i.e. Hadoop 1.x & Hadoop 2.x), and also we will understand what are the enhancements and improvements have been done in Hadoop 2.x with respect to Hadoop 1.x
ETL vs ELT3:19
Data Processing, Cleaning and Transformation are important parts when it comes to dealing with any amount of data. In this lecture, we will understand how Hadoop uses ELT approach in comparison with traditional ETL approach.
Different Hadoop Vendors4:20
There are various Hadoop distributions available by different vendors in the market. We will briefly cover about them, and understand how they are easy to use and move to production.
Hadoop Installation14:00
a very simple and easy guide to install Hadoop on your machine (Mac/Windows/Others)
Managing HDFS from Command Line9:09
We will learn important Hadoop commands to work with HDFS. This will help you when you will be doing some POCs or working on Production.
Hadoop on the Cloud5:11
In this lecture, we will learn benefits of working with Hadoop on cloud, and how it is easy to install, manage and scale at Cloud.

Introduction to Hive2:41
We will briefly cover how Hive is used to process large volumes of data, and how it works.
Hive Architecture2:28
a deep dive into Hive where we will learn about Hive architecture, and how it works internally.
Hive Data Model7:55
Understand Hive Data Models with detailed explanations which you would need to know when you start working with Hive.
File Formats in Hive (Text, Parquet, RCFile, ORC)4:40
We will briefly cover about different file formats that Hive understand and comparison between them.
SQL vs HQL3:46
Hive being a data warehouse solution built of top of Hadoop. In this lecture, we will learn about how Hive queries are similar to SQL, and how it is easy to write a query in Hive.
UDF & UDAF in Hive2:57
Understand how we can build custom functions in Hive to process huge volumes of data.
Hive Demo18:50
A very nice demo on Hive to understand how Hive works on top of Hadoop. Different exercises for you to play with Hive.

Introduction to Pig2:57
A very high level of introduction to Pig built on top of Hadoop to process huge volumes of data.
Pig Architecture1:39
Deep dive into Pig Architecture..
Pig Data Model2:17
Learn about Data Models in Pig which you would need to know when you are starting to work with Pig.
How Pig Latin Works2:57
We will cover about Pig Latin which is a Data Flow language in Pig which is used to design Data Pipelines to process big data.
SQL vs PIG5:32
Understand Similarities and Differences between SQL and Pig Latin.
UDF in Pig3:26
In this lecture, we will learn what UDF is, and how it can be used to design custom functions to process Big data.
Pig Demo12:49
A very nice demo on Pig to understand how Pig is used to process huge volumes of data. A lot exercises for you to play with Pig.

Practice-1: Analyzing Taxi Trips Data5:03
In this exercise we will be analyzing Taxi Trips data by designing a Data Warehouse using Hive. There will be Billions of rows in the tables to analyze. By doing this exercise, you will be learning:
Designing Optimized Data Model in Hive
Query Optimization Techniques
ETL process to load data into Dimension and Fact Tables
Automated Data Pipeline Techniques and much more..
Practice-2: Designing Hive UDF4:25
In this section we will learn about designing and developing UDF in Hive

Requirements

Basics knowledge of SQL and RDBMS would be a plus
Machine- Mac or Linux/Unix or Windows

Description

Jumpstart Your Big Data Journey with Hands-On Hadoop Training!

Ready to dive into the world of Big Data? This beginner-friendly course is your perfect starting point! Whether you're an aspiring data engineer, analyst, or tech enthusiast, "Big Data and Hadoop for Beginners – with Hands-on!" is designed to simplify complex concepts and get you job-ready with real-world skills.

What You’ll Learn:

Big Data 101: Get a clear overview of the Big Data landscape, including global salary trends, in-demand roles, and top technologies shaping the future.
Hadoop Demystified: Understand the architecture of Hadoop and its ecosystem (HDFS, YARN, MapReduce) with intuitive, visual breakdowns and beginner-friendly examples.
Hive Made Easy: Learn how Hive simplifies querying large datasets and get hands-on with data models, file formats, and HiveQL.
Mastering Pig: Discover how Pig processes data efficiently and learn to write Pig Latin scripts through practical demonstrations.
Real-World Use Cases: Explore how modern companies leverage Hadoop in Data Lakes and build your own mini Big Data pipeline from scratch.
Practice with Real Data: Sharpen your skills with large datasets and practice designing optimized data models and pipelines.

Course Structure:
The course is structured into 6 comprehensive sections, each packed with step-by-step demos and practical assignments. No prior experience is needed, just curiosity and the drive to learn!

Why Take This Course?

Designed specifically for beginners
Clear, practical explanations of Hadoop and its components
High-quality, hands-on exercises to build confidence
A complete foundation to pursue Big Data roles or advanced courses

Check out some of our reviews from real students:-

"A nice learning for beginners, the thing which differentiates this course from other similar courses is that it has very "effective and concise" content, so do even a layman can understand easily. The course shows only 3 hours of on-demand video lecture but one should always give time to each lecture ( by means of bookmarks and pause), then you would able to understand all the basics of Big data and Hadoop."

"I liked the hands-on approach. very helpful."

"Overall definitely worth the money for what you get, I learnt so much about Big Data."

"I absolutely recommend taking this course."

"Presenter explains in simple terms and any lay person or someone like me who has no background about databases and data can understand. Explaining the business use case application us very helpful in understanding how this can be useful for everyday business."

"Loved it. Saved lots of time searching information on the internet."

"Very informative, and the course gave me what I was looking for. Thanks!"

"Big Data introduction can be daunting with several new keywords and components that one needs to understand. But, this course very clearly explains to a beginner about the architecture and different tools that can be leveraged in a big data project. It also has indications on the scope of big data in the industry, different roles one can perform in the big data space and also cover various commercial distributions of big data. Overall, a great course for a beginner to get started on the fundamentals of big data. Use Case is a bonus !"

Who this course is for:

This course can be opted by anyone (students, developer, manager) who is interested to learn big data. This course assumes everyone as a beginner, and teaches all fundamentals of Big Data, Hadoop and its complex architecture.

Big Data and Hadoop for Beginners - with Hands-on!

What you'll learn

Explore related topics

Course content

Welcome to the Course1 lecture • 4min

Big Data at a Glance5 lectures • 28min

Getting Started with Hadoop8 lectures • 1hr 4min

Getting Started with Hive7 lectures • 43min

Getting Started with Pig7 lectures • 32min

Use Cases2 lectures • 13min

Practice2 lectures • 9min

Requirements

Description

Who this course is for: