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Learn Azure data factory and AWS GLUE (ETL)

Learn Azure data factory and AWS GLUE (ETL)

Master ETL in the cloud with AWS glue & Azure data factory lab

What you’ll learn

Learn Azure data factory and AWS GLUE (ETL)

  • Confidently work with AWS Serverless services to develop Data Catalogue, ETL, and Analytics on a Data Lake

  • Build a serverless data lake on AWS using structured and unstructured data

  • By end of this course, you will be able to develop a pipeline in the azure data factory

  • how to perform the transformation in azure data factory

  • you will learn how to develop an incremental load pipeline

  • you will be able to understand data bricks architecture and how to use

  • Industry level SCD type-1,type-2 projects

  • Failure handling and debug pipeline and learn about email alerts and all


  • Good to have Azure and AWS Account for the practical lab

  • Good internet and laptop/desktop

  • Willing to learn


In this course, we would learn the following:

1) We will start with the Basics of Serverless Computing


2) We will learn

Schema Discovery, ETL, Scheduling, and Tools integration using a Serverless AWS Glue Engine built on the Spark environment


3) We will learn to

develop a centralized Data Catalogue too using Serverless AWS Glue Engine


Businesses have always wanted to manage less infrastructure and more solutions. Big data challenges are continuously challenging the infrastructure boundaries. Having

Serverless Storage, Serverless ETL, Serverless Analytics, and Serverless Reporting, all on one cloud platform

had sounded too good to be true for a very long time. But now it’s a reality on the AWS platform. AWS is the only cloud provider that has all the native serverless components for a true

Serverless Data Lake Analytics


Learn Azure data factory and AWS GLUE (ETL)

This course understands your time is important, and so the

course is designed to be laser-sharp on lecture timings, where all the trivial details are kept at a minimum and focus is kept on core content for experienced AWS Developers / Architects / Administrators

. By the end of this course, you can feel assured and confident that you are future-proof for the next change and disruption sweeping the cloud industry.

I am very passionate about AWS Serverless computing on Data and Analytics platform and am covering A-to-Z of all the topics discussed in this course.

This course will target anyone who likes to learn azure data factory and data bricks. This course will cover all ADF components from the Model and View layer. In this course, I have selected 15+ real-time industry-level project learning which will cover all the topic which is necessary to learn azure data factory and data bricks and will be able to work in the industry. This is a completely hands-on learning tutorial where we will do practical’s based learning and by end of this course we will develop a complete ADF application together (step by step) By the end of this course, you should be able to develop a complete ADF application by yourself.

If you will be able to do practicals with me you will be able to get a complete picture of the data factory

I have also included lessons on the storage blob Storage, amazon s3, Azure SQL Database, etc. Also, there are lessons on  Azure Databricks. I have even included lessons on building reports using Power BI on the data processed by the Azure Data Factory data pipelines.

Who this course is for:

  • Anyone who wants to learn and get hands-with azure data factory and data bricks
  • Anyone looking for a job change in the data engineering field
  • Anyone who wants to learn AWS Serverless technologies for data and analytics should take this course

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