Learn Azure data factory and AWS GLUE (ETL)

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 solution.

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.