DataOps Framework: A Comprehensive Guide for Analytics Engineering
Introduction: Problem, Context & Outcome Engineering and data teams often struggle to deliver reliable data quickly. Pipelines break silently, data quality issues appear late, and handoffs between teams slow everything…