Data Engineering with Databricks focuses on building, managing, and optimizing scalable data pipelines using the Databricks platform. It leverages Apache Spark to process large datasets efficiently in a distributed environment. This training explains how to ingest data from multiple sources, transform it using Spark-based operations, and store it in data lakes and warehouses. It also covers Delta Lake for reliable data storage, versioning, and performance optimization. You will learn how to design ETL and ELT pipelines, manage workflows, and ensure data quality in cloud environments. The course also highlights real-world use cases in analytics, machine learning pipelines, and enterprise data platforms.
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