Part 7/11:
He underscores the key advantage: speed. Tasks like pipeline recovery, data ingestion, and code modernization that once took days or weeks can now be accomplished in minutes, enabling organizations to respond swiftly to changing business needs.
Practical Use Cases and Applications
Malik discusses numerous applications of agents in data engineering:
Code translation: Automating migration from legacy ETL routines to modern platforms
Documentation: Generating comprehensive documentation for pipelines and models
Data quality and governance: Building rules, enforcing security, and controlling access through intelligent systems
Data ingestion: Accelerating onboarding of new data sources from weeks to days