Skip to content Skip to sidebar Skip to footer

Databricks - Master Azure Databricks for Data Engineers


Learn Azure Databricks for professional data engineers using PySpark and Spark SQL Databricks - Master Azure Databricks for Data Engineers

Enroll Now

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

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

Courses to get you started  -- > Databricks - Master Azure Databricks for Data Engineers

Online Course CoupoNED based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.