Understanding essential automation concepts

One of the pillars of effective, dependable, and scalable data engineering practices is automation. Manual interventions not only increase the chance of error in today’s quick development cycles, but are also becoming increasingly impractical given the size and complexity of today’s data systems. The purpose of this section is to acquaint you with the fundamental automation ideas that form the cornerstone of a well-executed CI/CD pipeline.

We’ll examine the three main types of automation—test automation, deployment automation, and monitoring—to give you a comprehensive understanding of how these components interact to speed up processes and guarantee system dependability. To create systems that are not only functional but also reliable and simple to maintain, you must master these automation techniques, whether you’re creating a real-time analytics engine or setting up data pipelines for machine...