Databricks Fundamentals for Data Engineering and Analytics

Modern data teams need a unified way to process, store, and analyze information without the complexity of traditional silos. This course provides a clear path into the Databricks environment, teaching you how to leverage a unified platform for both data engineering and business intelligence. You will gain the skills necessary to navigate the workspace, manage compute resources, and implement modern data architecture patterns. By the end of this course, you will be able to handle data ingestion, perform SQL-based analysis, and understand the governance required for enterprise-scale projects. What you'll learn: - Understand the Lakehouse architecture and how it unifies data lakes and warehouses - Navigate the workspace to manage clusters, notebooks, and compute resources - Apply SQL to query and transform data within the Data Intelligence Platform - Configure data governance and security using Unity Catalog for centralized management - Implement data ingestion patterns to move information from external systems - Organize data using the medallion architecture for scalable and reliable pipelines - Practice building SQL dashboards for business intelligence and reporting The course begins with essential terminology and platform architecture before moving into practical data management workflows and query development. You will read through detailed explanations and follow written exercises to reinforce your understanding of the platform's core features. This course is designed for beginners who are new to the platform and want to understand its role in the modern data stack. No prior experience with Databricks is required, though a basic familiarity with data concepts is helpful. Start building your skills in modern data architecture today.