Big Data is one of the most in demand fields in tech, but the term is thrown around so loosely that few people actually understand what it means. This basics course gives you a clear, structured introduction. You will learn what Big Data is with examples, the history of Big Data, job opportunities in the field, the types of Big Data (structured, semi structured, unstructured), the 5 Vs characteristics, categories of Big Data, Big Data frameworks, programming paradigms, and programming languages.

This Course Offers

• A complete conceptual foundation of Big Data, from definition to real world examples.
• An overview of the history of Big Data and the job roles available (data engineer, data scientist, Big Data analyst).
• The types of Big Data and the 5 Vs (volume, velocity, variety, veracity, value).
• The different categories of Big Data (batch processing, real time processing, interactive analytics).
• Big Data frameworks (Hadoop, Spark) and programming paradigms (map reduce).

Why We Love This Course

1. It is short and efficient. Just 44 minutes of video across 7 lectures. You can understand the entire Big Data landscape in under an hour.
2. Over 70,000 students have enrolled, making it a popular starting point for beginners.
3. The instructor has 14 years of IT industry experience and extensive knowledge of Big Data, Hadoop, and Spark.
4. The course is completely free. You can explore Big Data concepts without any financial risk.

A note: the course last updated in August 2021. Some specific tooling details have evolved. But the foundational concepts of Big Data, the 5 Vs, the types of data, and the core frameworks remain accurate. If you are a beginner trying to understand what Big Data actually is and whether you want to pursue a career in it, this free, concise course is an excellent starting point.

• This course is for students at beginner level interested in learning Big Data basics.
• For those who want to start a new career in the Big Data field.
• Professionals who need to understand Big Data concepts for their current role.
• Anyone who has heard the term Big Data and wants to know what it actually means.
• Learners who want a free, structured introduction before investing in longer courses.
• Students considering a career as a data engineer, data scientist, or Big Data analyst.

• No prerequisites other than an interest in learning Big Data.
• Basic computer literacy.
• No prior programming or data experience is required.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.