Big Data Engineering Bootcamp with GCP, and Azure Cloud

Name: Big Data Engineering Bootcamp with GCP, and Azure Cloud
Price: 9.99 USD
Availability: InStock
Rating: 4.6 (15040 reviews)

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 LimitedPublished/Updated on: December 12, 2025🌐 English

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Key Takeaways

Course Essentials

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes.

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Course Title

Big Data Engineering Bootcamp with GCP, and Azure Cloud

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Provider

Udemy (via CourseSpeak listing)

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Instructor

Krish Naik, Mayank Aggarwal, KRISHAI Technologies Private Limited

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Last Updated

December 12, 2025

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Difficulty Level

Advanced

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Course Focus

finance & accounting fundamentals to advanced concepts

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Learning Outcomes

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

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Prerequisites

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.

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Target Audience

Beginners to advanced programmers

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What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

✓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

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

•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.

Course Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive finance & accounting courses.

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About the Instructor

Course Expert

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Mayank Aggarwal, KRISHAI Technologies Private Limited

Expert Instructors

View Instructor Profile

Experience

12+ years developing large-scale systems in Big Data.

Specialization

finance & accounting education and applied programming expertise.

Institution

Krish Naik - Leading provider of quality finance & accounting education and professional development.

Review - Big Data Engineering Bootcamp with GCP, and Azure Cloud course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: Big Data Engineering Bootcamp with GCP, and Azure Cloud by Krish Naik, Mayank Aggarwal, KRISHAI Technologies Private Limited

Big Data Engineering Bootcamp with GCP, and Azure Cloud is a comprehensive online course designed to help students master Finance & Accounting skills. Created by Krish Naik, Mayank Aggarwal, KRISHAI Technologies Private Limited, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Big Data and take their career to the next level.

Our Recommendation

Course recommendation: Big Data Engineering Bootcamp with GCP, and Azure Cloud excels in finance & accounting development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.6

★★★★★

Course Rating

Based on 15,040 student reviews as of December 2025

Rating Breakdown:

5 stars:

75% (11,280)

4 stars:

15% (2,256)

3 stars:

5% (752)

2 stars:

5% (752)

1 star:

5% (752)

Sarah Johnson

★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

Michael Torres

★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

David Kim

★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

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