Udemy

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

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  • 28,063 Students
  • Updated 7/2025
4.1
(2,071 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 59 Minute(s)
Language
English
Taught by
Andalib Ansari
Rating
4.1
(2,071 Ratings)

Course Overview

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

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

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 !"




Course Content

  • 7 section(s)
  • 32 lecture(s)
  • Section 1 Welcome to the Course
  • Section 2 Big Data at a Glance
  • Section 3 Getting Started with Hadoop
  • Section 4 Getting Started with Hive
  • Section 5 Getting Started with Pig
  • Section 6 Use Cases
  • Section 7 Practice

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


Reviews

  • R
    Rudraprasad Samal
    5.0

    good

  • A
    Ajay Chandra
    3.5

    Installation part is not updated as per current as per the attached document it does not work especially the ssh prompt. Basics of spark would be an add value.

  • R
    RAVI CH
    3.0

    It is okay for beginners. But course was updated 2 years ago and the software he had used in this course is not the latest version. This course gives a brief overview of BigData and Hadoop.

  • E
    Eoin O'Beirne
    4.0

    The lessons are quick and easy. This is a decent enough, very-short course which gives you a high level intro to Hadoop. Having said that, you will require further resources if you decide you really want to get your head around the subject of Hadoop.

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