<ul><li>ETL (Extract, Transform, Load) is a process used in data warehousing to extract data, transform it into a suitable format, and load it into a data warehouse for analysis.</li><li>Databricks is a unified analytics platform that provides a web-based UI for working with Apache Spark, enabling big data analytics, machine learning, and real-time data processing.</li><li>Azure Databricks is a fully managed cloud-based integration of Databricks within Microsoft Azure, combining the powerful features of Databricks with seamless Azure services integration.</li><li>Key features of Azure Databricks include big data analytics, machine learning and AI support, data flexibility, data lakehouse architecture, generative AI integration, and deep Azure integration.</li></ul>

Introduction to Azure Databricks

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