Azure Databricks

Azure Databricks is a unified analytics platform built on Apache Spark and Microsoft Azure that enables organizations to process, analyze, and scale massive volumes of data with speed and reliability. It combines data engineering, big data processing, SQL analytics, and machine learning into a single cloud-native environment, allowing teams to move from raw data to actionable insights efficiently. By leveraging in-memory computing, distributed processing, and cloud scalability, Azure Databricks delivers the performance required for modern, data-driven applications.

This course provides hands-on training in building and managing Azure Databricks workspaces, clusters, and data pipelines, along with working extensively on Spark, Delta Lake, and collaborative notebooks. You will learn how to ingest, transform, and analyze data, optimize performance, and implement reliable, scalable data workflows on Azure. The focus is on real-world data engineering and analytics workflows, ensuring you can confidently work with enterprise-grade big data platforms in production environments.