Data Engineering using AWS Data Analytics
Master data engineering with 25.5 hours of hands-on AWS analytics services training and expert instruction by Durga Viswanatha Raju Gadiraju and team—use coupon ITV20250701 to enroll now!
Table of contents
- Overview of Data Engineering using AWS Data Analytics Course on Udemy
- What to Expect from the Data Engineering using AWS Data Analytics Course
- What You Will Learn in Data Engineering using AWS Data Analytics
- Why Choose This Data Engineering using AWS Data Analytics Course on Udemy
- Recommended Courses with Data Engineering Focus
- Our Review of Data Engineering using AWS Data Analytics Course
- Rating the Data Engineering using AWS Data Analytics Course
- Additional Information from Search Insights
Overview of Data Engineering using AWS Data Analytics Course on Udemy
Unlock the power of big data with the Data Engineering using AWS Data Analytics course on Udemy. This comprehensive program teaches you how to build robust data pipelines using AWS services like Glue, EMR, Athena, Kinesis, Lambda, and Redshift. Spanning 25.5 hours of on-demand video, 112 articles, and 18 downloadable resources, instructors Durga Viswanatha Raju Gadiraju, Pratik Kumar, Madhuri Gadiraju, Sai Varma, and Phani Bhushan Bozzam deliver practical, real-world skills for managing large-scale data. Enjoy lifetime access, mobile and TV compatibility, and a certificate of completion. Enroll today with udemy coupon codes ITV20250701 (valid until July 31, 2025—check the offer box below for the discount link!)
What to Expect from the Data Engineering using AWS Data Analytics Course
This 25.5-hour course offers a step-by-step learning experience, blending theory with hands-on projects. The instructors’ teaching style is practical and example-driven, ideal for experienced data engineers and developers looking to master AWS analytics. You’ll work with tools like AWS Glue for ETL processes, EMR for big data processing, and Athena for querying data lakes. The course is accessible on Udemy’s platform, supporting flexible learning on mobile, desktop, or TV, perfect for professionals aiming to excel in cloud computing.
What You Will Learn in Data Engineering using AWS Data Analytics
- Build scalable data pipelines using AWS Glue, Lambda, and Step Functions.
- Process large-scale data with Elastic MapReduce (EMR) and Apache Spark.
- Query data lakes efficiently using Amazon Athena.
- Stream and analyze real-time data with AWS Kinesis.
- Design and manage data warehouses with Amazon Redshift.
- Implement secure data solutions with AWS IAM and governance best practices.
Why Choose This Data Engineering using AWS Data Analytics Course on Udemy
This course is a top choice due to the instructors’ extensive expertise and the course’s focus on in-demand AWS tools. Updated for 2025, it ensures relevance for modern data engineering challenges. With 25.5 hours of content, 112 articles, and 18 resources, it offers exceptional value for professionals seeking AWS certification or career advancement. Use udemy promo codes ITV20250701 to get it at a discount (see offer box)!
Recommended Courses with Data Engineering Focus
Looking to expand your skills? Check out these related courses:
Data Engineering for Beginners: Learn SQL, Python & Spark BEST SELLER
- AWS Certified Data Engineer Associate 2025: Prepare for the DEA-C01 exam with hands-on Redshift, Glue, and Athena labs.
- Data Engineering with Python and Spark: Master big data processing using PySpark and Databricks.
- AWS Data Analytics Specialty: Deep dive into Kinesis, QuickSight, and Lake Formation for advanced analytics.
Our Review of Data Engineering using AWS Data Analytics Course
From a website admin perspective, this course is exceptionally well-structured, covering the full spectrum of AWS analytics services. The instructors’ clear explanations and real-world examples make complex topics like Spark on EMR accessible. The hands-on labs are practical, though some prior knowledge of Python or SQL is helpful. With udemy courses coupon ITV20250701, it’s a fantastic deal!
- Pros:
- Comprehensive coverage of AWS Glue, EMR, and Redshift.
- Practical projects simulating real-world data engineering tasks.
- Extensive resources with 112 articles and lifetime access.
- Cons:
- Requires some coding experience for full benefit.
- Dense content may overwhelm beginners.
Rating the Data Engineering using AWS Data Analytics Course
- Content: 9.2/10 – Covers all key AWS data analytics services thoroughly.
- Delivery: 8.8/10 – Clear but can be fast-paced for novices.
- Value: 9.5/10 – Affordable with udemy discounts coupon ITV20250701.
Enroll now to master data engineering with this top-tier course!
Additional Information from Search Insights
The course aligns with trending keywords like big data, data pipelines, AWS Glue, Elastic MapReduce (EMR), Amazon Athena, AWS Kinesis, Amazon Redshift, AWS IAM, and AWS certification. These terms reflect the high demand for AWS data engineering skills in industries like tech, finance, and e-commerce. Learners searching for these topics will find this course highly relevant, as it provides practical, hands-on experience with AWS’s analytics ecosystem.
