Databricks – Master Azure Databricks for Data Engineers Course
Learn Azure Databricks for professional data engineers using PySpark and Spark SQL
This Databricks – Master Azure Databricks for Data Engineers Course Created by Learning Journal and Prashant Kumar Pandey with 17.5 hours on-demand video, 28 downloadable resources and Certificate of completion. 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.
What you’ll 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 Lakehouse
Databricks Autoloader
Delta Live Tables and DLT Pipelines
Databricks Repos and Databricks Workflow
Databricks Rest API and CLI
Capstone Project
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