[Avg. reading time: 2 minutes]
Introduction to Data Engineering
Data Engineering is not about dashboards or ML hype. It’s about building systems that move and shape data reliably at scale.
At its core, data engineering answers three questions:
- How does data enter the system
- How does it change as it moves
- How do we trust it when it’s used
Everything else is implementation detail.
Data comes from multiple sources:
- APIs
- Files (CSV, JSON, Parquet)
- Databases
- Streams
The real challenge is not loading data. It’s handling reality:
- Millions of records
- Partial failures
- Schema changes
- Late-arriving data
- Duplicate data