Data Engineering — Placement Preparation
Chapters
| Topic | File |
|---|---|
| Fundamentals | ETL vs ELT, warehouses vs lakes, OLTP vs OLAP |
| Batch Processing | Spark, MapReduce, Airflow |
| Stream Processing | Kafka, Flink, stream patterns |
| Interview Questions | Data engineering interview Qs |
Why Data Engineering Matters
- Data is the foundation of ML, analytics, and business decisions
- Data engineers build the pipelines that make data usable
- Understanding data systems is increasingly expected of all engineers
- Common interview topic at data-intensive companies