Data Engineering using AWS Data Analytics
Overview of Data Engineering using AWS Data Analytics Course on Udemy
Unlock the power of AWS Data Analytics to build robust data engineering pipelines with this comprehensive Udemy course. Designed to guide you through services like AWS Glue, EMR, Athena, Kinesis, Lambda, and Redshift, this course empowers you to create efficient data pipelines for data lakes and warehouses. With over 25.5 hours of video content, 18 downloadable resources, and 112 articles, you’ll gain hands-on experience under the expert guidance of instructors Durga Viswanatha Raju Gadiraju, Pratik Kumar, Madhuri Gadiraju, Sai Varma, and Phani Bhushan Bozzam. Enroll today with coupon ITV20250501 (valid until May 31, 2025—check the offer box below for the discount link!)
What to Expect from the Data Engineering using AWS Data Analytics Course
This course offers an immersive learning experience tailored for beginner to intermediate data engineers, application engineers, and analytics professionals. Spanning 25.5 hours, it combines theoretical lessons with hands-on labs, ensuring you can apply concepts in real-world scenarios. The step-by-step approach, led by experienced instructors, makes complex AWS services accessible. Hosted on Udemy’s flexible platform, you can learn at your own pace, accessing materials anytime, anywhere. Expect practical exercises, such as building pipelines with AWS Glue and processing data with EMR, to solidify your skills.
What You Will Learn in Data Engineering using AWS Data Analytics
- Master AWS Data Analytics services like Glue, EMR, Athena, Kinesis, and Lambda for data engineering tasks.
- Build end-to-end data pipelines to move data from multiple sources to data lakes or warehouses.
- Leverage AWS S3 for scalable storage and understand its key features for data management.
- Use AWS Glue Crawlers and Catalog to organize and query unstructured data effectively.
- Deploy and manage Spark applications on AWS EMR for large-scale data processing.
- Implement streaming data ingestion pipelines using AWS Kinesis for real-time analytics.
Why Choose This Data Engineering using AWS Data Analytics Course on Udemy
This course stands out due to its expert instructors from ITVersity, who bring over 20 years of experience in big data and cloud technologies. The content is regularly updated to reflect the latest AWS features, ensuring relevance. With 25.5 hours of video, 18 downloadable resources, and 112 articles, it offers unmatched depth for practical learning. Whether you’re aiming to enhance your career or prepare for AWS certifications, this course delivers actionable skills. Use udemy coupon ITV20250501 to get discount (see offer box)!
Recommended Courses with Data Engineering Focus
Looking to expand your skills? Check out these related courses:
AWS Certified Data Engineer Associate 2025 – Hands On! Best seller
Fundamentals of Database Engineering Best seller
- AWS Certified Data Engineer Associate 2025 – Hands On! – Prep for DEA-C01 with Redshift, Glue, and more.
- Data Engineering for Beginners: Learn SQL, Python & Spark – Master PySpark and Databricks on Google Cloud.
- AWS Certified Data Analytics Specialty 2025 – Hands On! – Comprehensive DAS-C01 exam prep with Kinesis and EMR.
Our Review of Data Engineering using AWS Data Analytics Course
As website admins, we found this course to be a standout for aspiring data engineers. Its well-structured modules progress logically from AWS basics to advanced pipeline creation, making it approachable yet thorough. The instructors’ expertise shines through in clear explanations and real-world examples, while the hands-on labs ensure practical application. The course’s focus on in-demand AWS services like Glue and Kinesis adds significant value for career growth.
- Pros:
- Comprehensive coverage of AWS Data Analytics services with practical labs.
- Expert instructors with 20+ years of industry experience.
- Extensive resources (25.5 hours video, 18 downloads, 112 articles) enhance learning.
- Cons:
- Requires some prior Python/SQL knowledge, which may challenge absolute beginners.
- Additional AWS usage costs for hands-on practice (though minimal).
With udemy coupon ITV20250501, to get discounts!
Rating the Data Engineering using AWS Data Analytics Course
Overall Rating: 9.4/10
- Content: 9.5/10 – In-depth coverage of AWS services with real-world pipeline examples.
- Delivery: 9.0/10 – Clear, engaging instruction with a practical, step-by-step approach.
- Value: 9.0/10 – Affordable with ITV20250501.
Don’t miss this opportunity to master data engineering on AWS—enroll now and elevate your career
Wishlist