Get Started Today and Build Your Career in Data Engineering!
What you will learn
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
Understand the Fundamentals of Modern Data Engineering
Build and Manage Scalable Data Lakes on AWS S3
Design Star Schema Data Models with Fact & Dimension Tables
Implement Slowly Changing Dimensions (SCD1 & SCD2)
Develop ETL Pipelines Using PySpark with Data Quality Checks
Query and Explore Data Lakes with AWS Athena and Glue Catalog
Automate Workflows and Pipelines Using Apache Airflow
Create Custom Airflow Plugins to Manage EMR Spark Jobs
Apply the WAP (Write-Audit-Publish) Pattern for Production Pipelines
Implement Data Quality Frameworks and Data Contracts
Deploy and Monitor Data Pipelines on AWS EMR
Optimize Data Workflows for Cost, Performance, and Reliability
Gain Hands-On Experience with Real-World Use Cases
Prepare for Data Engineering Interviews with Confidence
English
language