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Mastering Azure Databricks

We created Master Azure Databricks for Data Engineers using the Azure cloud platform. This course will help you learn Databricks in Azure Cloud, Working with DBFS and Mounting Storage, Unity Catalog - Configuring and Working, Unity Catalog User Provisioning and Security, Working with Delta Lake and Delta Tables, Manual and Automatic Schema Evolution, Incremental Ingestion into the Lakehouse, Databricks Autoloader, Delta Live Tables and DLT Pipelines, Databricks Repos and Databricks Workflow, Databricks Rest API and CLI. This course also includes an End-To-End Capstone project. The project will help you understand the real-life project design, coding, implementation, testing, and CI/CD approach. We designed this course for data engineers willing to develop Lakehouse projects following the Medallion architecture approach using the Databrick cloud platform. We also created this course for data and solution architects responsible for designing and building the organization’s Lakehouse platform infrastructure. Another group of people is the managers and architects who do not directly work with Lakehouse implementation. Still, they work with those implementing Lakehouse at the ground level.