Description
A self-paced, practical course for data engineers, analytics engineers and developers responsible for moving and transforming data between systems. Seven lessons cover ETL versus ELT and pipeline architecture, batch and streaming ingestion, change data capture and incremental processing, transformation design, orchestration and scheduling, data quality and observability, and security, cost and operations. Each lesson ends with an exercise that builds a working pipeline step by step.
Seven self-paced lessons, each ending with a practical exercise:
- ETL, ELT and Pipeline Architecture
- Batch and Streaming Ingestion
- Change Data Capture and Incremental Processing
- Transformation Design
- Orchestration and Scheduling
- Data Quality and Observability
- Security, Cost and Operations
After checkout, sign in at My Courses with the account used at checkout and open the course at techskillslibrary.com/course/etl-elt-pipeline-blueprint/.
Self-paced course from Tech Skills Library. Educational content only; it is not an accredited qualification, licence or credential.
