Get Started Today and Build Your Career in Data Engineering!
Sub Category
- IT Certifications
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Objectives
- 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
Pre Requisites
- Basic knowledge of SQL and Python
- Familiarity with Docker and Bash scripting helpful
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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