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Big Data Engineering Bootcamp with GCP, and Azure Cloud

Master Big Data with Hadoop, Spark, Kafka & Cloud | Build Real-World Projects & Scalable Data Pipelines from Scratch
4.6 ★★★★★15,040 studentsCreated by Krish Naik, Mayank Aggarwal, KRISHAI Technologies Private LimitedLast updated Dec 12, 2025🌐 English

What you'll learn

✓Learn Hadoop, Spark, and Kafka from scratch, understanding the 3Vs (Volume, Velocity, Variety) and their real-world applications.
✓Master ETL workflows, data ingestion, transformation, and storage using Apache Spark, Airflow,Kafka, and distributed systems.
✓Deploy & manage Big Data solutions on Azure, and GCP
✓Work on real-world Big Data projects, implementing scalable architectures, data pipelines, and analytics using industry tools.

Requirements

•Basic Computer Knowledge – No prior experience in Big Data is needed, but familiarity with using a computer and basic software is helpful.
•Basic Python or SQL (Optional) – While not mandatory, having a basic understanding of Python or SQL can make learning data processing easier.
•Willingness to Learn – A strong motivation to explore Big Data technologies and work with large-scale data solutions is essential.
•A Laptop with Internet Access – Any system (Windows/Mac/Linux) with at least 8GB RAM is recommended for running Big Data tools locally or on the cloud.

Description

Frequently Asked Questions

Student Feedback

4.6
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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Big Data Engineering Bootcamp with GCP, and Azure Cloud
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This course includes:
  • 📺 74h on-demand video
  • 📱 Access on mobile and TV
  • ♾️ Full lifetime access
  • 🏆 Certificate of completion