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Azure Data Engineer Real World Projects
Rating: 4.3 out of 5(14 ratings)
125 students

Azure Data Engineer Real World Projects

Learn Azure Data Engineering using Real-world Working Projects
Created bySijeesh Kunnotharamal
Last updated 11/2023
English

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

Course content

5 sections • 46 lectures • 6h 5m total length

  • Introduction2:57
  • Create resource group3:32
  • Deploy storage account5:57
  • Deploy Azure Data Factory6:07
  • Deploy Azure SQL Database8:07
  • Create storage container and upload input file3:19
  • Create linked service in Azure Data Factory10:28
  • Create Datasets in Azure Data Factory5:44
  • Create Data Flow job in Azure Data Factory14:13
  • Create and execute the pipeline in Azure Data Factory8:31
  • Create Trigger and run the pipeline in Azure Data Factory8:06

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


  1. Azure Data bricks

  2. Azure Storage / Azure Data Lake Gen-2

  3. Azure Functions

  4. Azure Databricks

  5. Azure Synapse Analytics

  6. Azure SQL

  7. Azure Cosmos DB

  8. Azure Data Factory

  9. Azure Cognitive Services

  10. Azure Key Vault


This course will help you in preparing and mastering your Azure Data engineering Concepts.


Who this course is for:

  1. Aspiring Data engineer who are searching for project to add in resume

  2. Students who are planning to switch their career in Data Engineering

  3. Developers working on other technology trying to witch to Data Engineering

  4. Data Engineers/ Data Warehouse Developers currently working on other platform who want to learn Azure Technologies

  5. Data Architects who want to refresh their knowledge in  Azure Data Engineering stack

  6. Data Scientists who want extend their knowledge into data engineering

  7. 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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