Data Engineering • Interactive Module

Module 10: ETL, ELT and Batch Data Processing

Master end-to-end data pipeline architectures: ETL vs ELT trade-offs, SQL/API/CDC extraction techniques, transformation paradigms (cleansing, standardization, filtering, aggregation, joins, enrichment), loading strategies (full refresh, append, upsert/MERGE, partition overwrite), incremental batch processing with watermarks, partition pruning, handling late-arriving data and backfills, data deduplication with row_number(), idempotent pipeline design, failure recovery, data reconciliation with hash-based checksums, workflow orchestration with Apache Airflow DAGs, and distributed batch processing with Apache Spark.

Concept Overview & Direct Technical Answer

Direct Definition: Master end-to-end data pipeline architectures: ETL vs ELT trade-offs, SQL/API/CDC extraction techniques, transformation paradigms (cleansing, standardization, filtering, aggregation, joins, enrichment), loading strategies (full refresh, append, upsert/MERGE, partition overwrite), incremental batch processing with watermarks, partition pruning, handling late-arriving data and backfills, data deduplication with row_number(), idempotent pipeline design, failure recovery, data reconciliation with hash-based checksums, workflow orchestration with Apache Airflow DAGs, and distributed batch processing with Apache Spark.

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/etl-batch. Free, open curriculum for software engineers, systems practitioners, and interview candidates.