Introduction to Data Engineering
Key Takeaways
Introduces data engineering lifecycle
Original Description
In this course, you will be introduced to the data engineering lifecycle, from data generation in source systems, to ingestion, transformation, storage, and serving data to downstream stakeholders. You’ll study the key undercurrents that affect all stages of the lifecycle, and start developing a framework for how to think like a data engineer. To gain hands-on practice, you’ll gather stakeholder needs, translate those needs into system requirements, and choose tools and technologies to build systems that provide business value. By the end of this course you’ll be spinning up batch and streaming data pipelines to serve product recommendations on the AWS cloud!
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →
Related Reads
📰
📰
📰
📰
Excavating Legacy ETL: The AI Never Asserts a Fact It Could Look Up
Dev.to AI
Announcing Orchestra and n8n | The ultimate way to automate workflows
Medium · Data Science
ELT is moving back to best-of-breed and Orchestration is the missing piece
Medium · Data Science
Azure Data Engineer Course in Telugu: Build a Successful Data Engineering Career
Medium · DevOps
🎓
Tutor Explanation
DeepCamp AI