What you'll learn
Azure Data Engineering by doing sample projects
Azure Data Engineer Basics
Learn Azure Data Factory , Azure Functions , Azure Data Lake Storage , Azure SQL
Learn Azure for Data Engineer by doing simple projects
Requirements
No prior experience needed , only requirement is you need little bit patience and Azure Subscription
Description
Why you want to Learn by doing projects ?
This course contains Azure Data Engineer real world projects. The best way to learn any new tools or technology is by doing things.I know learning by reading and understanding each components in Azure will be a boring task. Instead if you do some simple projects , it always helps you to learn the services in better and efficient way. In this course you can practice along with me and try to implement these projects even if you don't know anything. Once you did these projects you will get some basic understanding , next you can learn each components in detail.
Azure Data Engineering - Azure Services using
I tried to add most of the commonly used Azure Data Engineering components in Azure , they are
Azure Data bricks
Azure Storage / Azure Data Lake Gen-2
Azure Functions
Azure Databricks
Azure Synapse Analytics
Azure SQL
Azure Cosmos DB
Azure Data Factory
Azure Cognitive Services
Azure Key Vault
This course will help you in preparing and mastering your Azure Data engineering Concepts.
Who this course is for
Aspiring Data engineer who are searching for project to add in resume
Students who are planning to switch their career in Data Engineering
Developers working on other technology trying to witch to Data Engineering
Data Engineers/ Data Warehouse Developers currently working on other platform who want to learn Azure Technologies
Data Architects who want to refresh their knowledge in Azure Data Engineering stack
Data Scientists who want extend their knowledge into data engineering
Someone who is looking for Real World uses cases to implement as Data engineering Solution
Who this course is for
People who want to learn Azure Platform for Data Engineering
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