In the realm of DataOps, the #TrueDataOps Community has identified a set of foundational principles that are essential for achieving effective and efficient data operations. These principles, often referred to as the "Pillars of True DataOps," represent core practices that drive successful data management and operational excellence. This chapter explores these seven pivotal pillars: ELT (Extract, Load, Transform) and the principles underlying it, agility through CI/CD (Continuous Integration and Continuous Delivery), component design and maintainability, environment management, governance, security, and change control, automated testing and monitoring, and the importance of collaboration and self-service (Figure 2-1). These pillars contribute to a robust DataOps framework, ensuring that data operations are scalable, reliable, and aligned with organizational goals.