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Databricks - Master Azure Databricks for Data Engineers

https://www.udemy.com/course/master-azure-databricks-for-data-engineers/

Learn Azure Databricks for professional data engineers using PySpark and Spark SQL


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


 


Requirements:


Python Programming Language


Apache Spark and Dataframe APIs using Python


Spark Structured Streaming APIs using Python


 


Description:


About the CourseI am creating Databricks - Master Azure Databricks for Data Engineers using the Azure cloud platform. This course will help you learn the following things.Databricks in Azure CloudWorking with DBFS and Mounting StorageUnity Catalog - Configuring and WorkingUnity Catalog User Provisioning and SecurityWorking with Delta Lake and Delta TablesManual and Automatic Schema EvolutionIncremental Ingestion into LakehouseDatabricks AutoloaderDelta Live Tables and DLT PipelinesDatabricks Repos and Databricks WorkflowDatabricks Rest API and CLICapstone ProjectThis 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. Who should take this Course?I designed this course for data engineers who are willing to develop Lakehouse projects following the Medallion architecture approach using the Databrick cloud platform. I am also creating 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.Spark Version used in the Course.This course uses Databricks in Azure Cloud and Apache Spark 3.5. I have tested all the source codes and examples used in this course on Azure Databricks Cloud using Databricks Runtime 13.3.


 


Who this course is for:


Data Engineers


Data Engineering Solution Architects


 


 


Databricks - Master Azure Databricks for Data Engineers


 




















 






 


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