Data Engineering Bootcamp – Series 1

Data Engineering Bootcamp – Series 1

What you’ll learn

  • 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

How to Enroll Data Engineering Bootcamp – Series 1 course?

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