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Prepare for the Databricks Certified Data Engineer Associate certification exam with this comprehensive 7-hour 28-minute course that covers all essential topics needed to pass the certification. Master the fundamentals of data engineering starting with data basics, data models processing, and data integrity concepts before diving into various data sources. Explore the Databricks Data Intelligence Platform architecture, workspace capabilities, and different cluster types to understand the foundational infrastructure. Learn to navigate the Databricks web application effectively and implement version control practices for collaborative development. Gain hands-on experience with Delta Lake, the unified analytics engine that provides ACID transactions and scalable metadata handling. Develop proficiency in Apache Spark SQL and PySpark through the Spark DataFrame API, working with tables, views, and complex SQL commands and logic. Master file handling across different formats and implement structured streaming solutions using Auto Loader for incremental data processing. Build and deploy Delta Live Tables for reliable data pipeline creation and learn comprehensive job monitoring and visualization techniques. Understand Unity Catalog for data governance and implement proper access control mechanisms to secure your data engineering workflows. Practice ETL tasks, complex data handling, user-defined functions, and workflow orchestration with Databricks jobs to ensure you're fully prepared for the certification exam.
