Data Engineering • Interactive Module

Module 9: Data Ingestion and Change Data Capture (CDC)

Master data ingestion pipelines and Change Data Capture (CDC): batch and incremental ingestion, full vs incremental loads, database log extraction (MySQL Binlog, PostgreSQL WAL logical decoding), REST API ingestion with cursor pagination, rate limits (HTTP 429) and exponential backoff, file and cloud storage discovery, Debezium, Apache Kafka transport, watermarks, offsets, checkpointing, deduplication, idempotent upserts, schema evolution, Dead-Letter Queues (DLQ), and scalable backpressure management.

Concept Overview & Direct Technical Answer

Direct Definition: Master data ingestion pipelines and Change Data Capture (CDC): batch and incremental ingestion, full vs incremental loads, database log extraction (MySQL Binlog, PostgreSQL WAL logical decoding), REST API ingestion with cursor pagination, rate limits (HTTP 429) and exponential backoff, file and cloud storage discovery, Debezium, Apache Kafka transport, watermarks, offsets, checkpointing, deduplication, idempotent upserts, schema evolution, Dead-Letter Queues (DLQ), and scalable backpressure management.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/data-engineering/ingestion-cdc. Free, open curriculum for software engineers, systems practitioners, and interview candidates.