Big Data is not a single technology. It is an ecosystem of tools for storage, analytics, mining, and visualization. This short, introductory course maps out the entire landscape. You will learn the different technology fields within Big Data, the types of technologies used, and specific technologies for data storage (like Hadoop, HDFS, NoSQL), data analytics (like Spark, Hive), data mining, and data visualization. No prior experience is required.

This Course Offers

• A clear overview of Big Data technology fields and the types of technologies in each.
• Specific technologies for data storage including distributed file systems and NoSQL databases.
• Technologies for data analytics including batch processing and real time engines.
• An introduction to data mining and data visualization tools in the Big Data ecosystem.

Why We Love This Course

1. It is extremely short. Just 34 minutes of video across 7 lectures. You can get a complete map of Big Data technologies 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, MongoDB, Python, and Java.
4. The course is completely free. You can explore the Big Data technology landscape without any financial risk.

A note: the course last updated in September 2019. The Big Data tooling landscape has evolved, with some newer technologies gaining prominence. However, the core categories (storage, analytics, mining, visualization) and foundational technologies (Hadoop, HDFS, NoSQL, Spark, Hive) remain relevant. If you are a beginner trying to understand what technologies are used in Big Data and how they fit together, this free, concise course is an excellent starting point.

• Beginner level learners interested in the different technologies in Big Data.
• Students trying to understand the Big Data technology landscape before diving into specific tools.
• Professionals who want a quick overview of what technologies exist and what they do.
• Career changers considering a move into Big Data roles.
• Anyone who has heard terms like Hadoop, Spark, Hive, or NoSQL and wants to understand how they fit together.
• Learners who completed the instructor's "Big Data Programming Languages" course and want to continue exploring.

• No prerequisites for this course.
• A basic interest in Big Data technologies.
• 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.