Building the Pipes: Core Data Engineering Concepts Explained

The article introduces core data engineering concepts and how data teams move data from source systems to analytics platforms.

It compares batch ingestion, which loads data in scheduled chunks, with streaming ingestion, which sends data continuously for near real-time use.

It also explains change data capture (CDC), a method that copies only database changes to reduce cost, latency, and unnecessary data movement.

Practical tools mentioned include AWS Glue, Apache Airflow, Airbyte, Apache Kafka, Google Cloud Pub/Sub, Debezium, AWS DMS, and Oracle GoldenGate.