Databricks - 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 Course
I 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 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
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.
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


More Info