Databricks Certified Data Analyst Associate Exam Preparation

About this course

This course is designed to prepare students for success in the Databricks SQL Certification exam and beyond, by providing  hands-on training in querying, managing, and visualizing data on the Databricks Lakehouse Platform. Whether you're a data analyst, business intelligence professional, data engineer, or an aspiring analyst or practitioner in cloud data platforms, this course will help you get practice with Databricks SQL and prepare for the Databricks Certified Data Analyst Associate exam.What You Will Learn:Section 1: Databricks SQL EssentialsUnderstand the diverse user base and stakeholder roles in Databricks SQL.Learn to write basic queries and build dashboards that deliver insights.Learn how to connect Databricks SQL to tools like Tableau, Power BI, and ingestion platforms like Fivetran.Explore SQL endpoints and warehouses, including cost-performance trade-offs and serverless options.Understand the Medallion Architecture and its role in batch and streaming data workflows.Section 2: Data Management with Delta LakeManage tables, views, and metadata with Delta Lake.Understand managed vs. unmanaged tables and the implications of data persistence.Work with Data Explorer to preview, secure, and modify data access.Learn best practices for handling PII data in organizational settings.Section 3: SQL in the LakehousePractice advanced SQL operations: joins, merges, window functions, cubes, roll-ups, and subqueries.Optimize query performance with caching, query history, and user-defined functions (UDFs).Utilize query history and caching to reduce development time and query latency.Section 4: Data Visualization and DashboardingCreate visualizations directly within