2. What topics, tools, and concepts does the program cover?

  • The curriculum spans the entire data engineering lifecycle: generation, ingestion, storage, transformation, and serving of data.
  • Tools and technologies taught include Apache Airflow, Spark, Hadoop, Kafka, Terraform, dbt, AWS services (like Kinesis, S3, Glue, Redshift), and data modeling patterns such as star schema and medallion architecture.
  • The program also emphasizes DataOps, Infrastructure as Code (IaC), system requirements gathering, and security.

Course | Career Focused Learning Platform
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