Big Data Engineering Bootcamp with GCP, and Azure Cloud
Overview of Big Data Engineering Bootcamp With GCP And Azure Cloud Course on Udemy
Looking to master big data engineering and conquer cloud technologies? The Big Data Engineering Bootcamp With GCP And Azure Cloud on Udemy is your ultimate guide to building end-to-end big data solutions using Google Cloud Platform (GCP) and Microsoft Azure. This comprehensive course offers 73 hours of on-demand video and includes 16 downloadable resources, delivering hands-on expertise in data pipelines, orchestration, and analytics. Created by expert instructors Krish Naik, Sunny Savita, and Mayank Aggarwal, this bootcamp is perfect for anyone aiming to excel in the fast-evolving world of big data.
Enroll today with coupon MARCH01 (valid until March 31, 2025—check the offer box below for the discount link!) and dive into this career-boosting journey. Here’s a snapshot of what awaits:
What to Expect from the Big Data Engineering Bootcamp With GCP And Azure Cloud Course
This 73-hour bootcamp offers an immersive, self-paced learning experience on Udemy’s flexible platform, allowing you to study at your convenience. The teaching style is practical and step-by-step, targeting data engineers, cloud enthusiasts, and professionals transitioning into big data roles. Expect hands-on projects—like building data pipelines with Apache Airflow and streaming analytics with Kafka—paired with real-world examples that mirror industry challenges. Hosted on Udemy, the course provides lifetime access, ensuring you can revisit and refine your skills anytime, anywhere.
What You Will Learn in Big Data Engineering Bootcamp With GCP And Azure Cloud
This course equips you with a robust big data engineering skill set. Here are 5-6 key takeaways:
- Big Data Pipelines: Design and implement end-to-end batch and streaming pipelines using GCP and Azure tools.
- Apache Airflow Mastery: Automate and orchestrate workflows with Airflow on both cloud platforms.
- Cloud Data Services: Leverage GCP’s BigQuery, Dataflow, and Azure’s Data Factory for scalable data processing.
- Streaming Analytics: Build real-time solutions with Kafka and Spark Streaming on cloud infrastructure.
- Data Visualization: Create actionable insights using Power BI integrated with cloud data workflows.
- Practical Projects: Apply your skills to 10+ real-world projects to solidify your expertise.
Why Choose This Big Data Engineering Bootcamp With GCP And Azure Cloud Course on Udemy
Why pick this course? Krish Naik, Sunny Savita, and Mayank Aggarwal bring years of industry experience, delivering a curriculum updated as of February 2025 that’s aligned with current big data trends. The 73 hours of video and 16 downloadable resources provide practical, job-ready skills, making it a standout choice for mastering GCP and Azure. Whether you’re aiming to land a data engineering role or enhance your cloud expertise, this course offers unmatched value. Use MARCH01 to snag it at a discount (see offer box below)!
Recommended Courses with Big Data and Cloud Focus
Looking to expand your skills? Check out these related courses:
Taming Big Data with Apache Spark and Python – Hands On! Best seller
The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero Best seller
- Complete Data Engineering with GCP and Azure – Deep dive into data engineering with advanced cloud tools.
- Big Data with Apache Spark and AWS – Master Spark for big data processing on AWS.
- Data Engineering on Microsoft Azure – Focus on Azure-specific big data solutions.
Our Review of Big Data Engineering Bootcamp With GCP And Azure Cloud Course
From an admin perspective, this course is a powerhouse. The 73-hour structure is well-paced, progressing from foundational concepts to advanced big data workflows with clarity. Krish Naik and his team excel as instructors, blending theory with practical applications seamlessly. The 10+ hands-on projects—like streaming pipelines with Kafka and orchestration with Airflow—are a highlight, offering skills you can immediately apply or showcase in a portfolio. The 16 downloadable resources complement the video content nicely.
Pros:
- Comprehensive coverage of GCP and Azure big data tools in 73 hours.
- Real-world projects build practical, job-ready expertise.
- Expert instructors deliver clear, industry-relevant insights.
Cons:
- Beginners without prior cloud knowledge might find the pace challenging.
- Limited downloadable resources (only 2) compared to similar bootcamps.
With MARCH01, it’s a steal for the depth and quality offered!
Rating the Big Data Engineering Bootcamp With GCP And Azure Cloud Course Experience
Overall Rating: 4.7/5
- Content: 4.8/5 – In-depth and up-to-date, covering big data engineering essentials across GCP and Azure.
- Delivery: 4.6/5 – Engaging and practical, though novices may need extra prep.
- Value: 4.7/5 – Affordable with MARCH01, delivering exceptional ROI with lifetime access.
Ready to dominate big data engineering? Enroll now and harness the power of GCP and Azure with this top-tier Udemy bootcamp!