CDOE Certified DataOps Engineer Preparation Guide for Data Professionals
1. Introduction For many years, software development was completely transformed by bringing code creation and production infrastructure together. Testing was automated, delivery infrastructure was written as code, and applications started breaking far less often in production. Unfortunately, analytics setups and data engineering pipelines did not experience that same operational evolution. In most organizations today, data pipelines are built manually, monitored poorly, and prone to silent failures. A database administrator changes a column structure on a backend system, and hours later, executive business dashboards are completely broken. The engineering team has no visibility into why it happened or how to fix it quickly. This is exactly where the concept of data operations becomes essential. Data operations takes the proven concepts of automated software infrastructure and applies them directly to data systems. By automating pipeline creation, testing code alterations against ...