Azure Databricks Architecture and Core Components Explained
As organizations continue to migrate their data infrastructure to the cloud, understanding the architecture behind powerful platforms like Azure Databricks becomes essential. Azure Databricks is not just a data processing tool—it is a unified analytics platform designed to handle big data engineering, machine learning, and real-time analytics efficiently. In this blog, we will explore the architecture of Azure Databricks, its core components, and how they work together to deliver scalable and high-performance analytics solutions. Understanding Azure Databricks Architecture Azure Databricks follows a cloud-native architecture that separates the control plane and data plane for better security, scalability, and management. 1. Control Plane The control plane is managed by Databricks in its own Azure subscription. It includes: Workspace management Notebook environment Cluster management interface Job scheduling User authentication This layer handles user interaction...