Udemy – Databricks Certified Data Engineer Associate – Bootcamp

Whether you’re a beginner or a working professional who wants to level up, this course will guide you step by step with a hands-on, practical, and engaging approach.

GAIN STRONG HANDS-ON WITH:

• Lakehouse Architecture, Lakehouse Federation, and Lakeflow Connect – Understand how Databricks handles structured and unstructured data, and how Lakehouse Federation lets you query external sources seamlessly.
• Unity Catalog, Metastore, Volumes, and UDFs – Learn how to manage data, permissions, and catalogs efficiently using Databricks’ built-in governance features.
• PySpark for Big Data – Master PySpark with real use cases, transformations, actions, joins, and more — all from a Data Engineer’s point of view.
• Structured Streaming + Autoloader – Build real-time pipelines using Spark Streaming and learn how Autoloader handles files in cloud storage.
• Delta Lake Architecture – Dive deep into Delta’s features like ACID transactions, time travel, schema evolution, and performance tuning.
• Databricks SQL Warehouses – Learn how to write parameterized queries, schedule dashboards, and set alerts using SQL Warehousing.
• LakeFlow Declarative Pipelines – Work with Streaming Tables, Materialized Views, and build low-code data pipelines.
• Delta Live Tables (DLT) – Build robust pipelines with SCD implementation, data quality checks, expectations, and monitoring.
• Orchestrate ETL with LakeFlow Jobs – Schedule, monitor, and manage your pipelines using LakeFlow Jobs end-to-end.
• Security and Sharing – Apply row-level security, data masking, and explore Delta Sharing for secure and scalable collaboration.

• Anyone who WANTS to become a DATABRICKS DATA ENGINEER