A free, practical, step-by-step learning path built around real hands-on work.
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Learn Big Data with a comprehensive Learning Path designed for beginners. This collection of hands-on Big Data courses provides a systematic roadmap to master essential technologies and techniques. Gain practical experience in data analysis, processing, and management by working with large datasets and advanced tools through interactive, non-video exercises.
| 1. Follow the roadmap Move from foundations to practical skills in a clear order. |
2. Practice in your browser Use a ready-to-run environment with no local setup. |
3. Build real projects Apply what you learn to guided, job-relevant scenarios. |
 1. Hadoop for Beginners Beginner · 12 hands-on labs Learn Hadoop through 9 guided labs and 3 challenges. Manage HDFS files and permissions, understand MapReduce, submit YARN jobs, and diagnose common failures. Start course → |
 2. Hive for Beginners Beginner · 10 hands-on labs Learn Apache Hive with 8 guided labs and 2 challenges. Map CSV files to tables, query sales with SQL, join customer data, register partitions, and rebuild ORC reports. Start course → |
 3. Apache Kafka for Beginners Beginner · 10 hands-on labs Learn Apache Kafka with 8 guided labs and 2 challenges. Publish keyed events, inspect partitions and consumer groups, replay records, and build bounded Python clients. Start course → |
 4. Apache Spark for Beginners Beginner · 13 hands-on labs Learn PySpark batch processing with 11 guided labs and 2 challenges. Read CSV and JSON, clean and join data, write partitioned Parquet, and submit reusable applications. Start course → |
Start the complete Big Data learning path on LabEx →
LabEx is a hands-on learning platform for beginners.
Explore Linux, DevOps, Cybersecurity, and more — all directly in your browser.
Learn step by step through interactive labs, guided exercises, and real-world projects. 🌱
No setup, no stress — just practice and grow your skills by doing.
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