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2 Real World Azure Data Engineer Project End to End

2 Real World Azure Data Engineer Project End to End

2 Real World Azure Data Engineer Project End to End
Free Coupon Discount - 2 Real World Azure Data Engineer Project End to End - Online Courses

Engineering Project Building from scratch including designing, architecting, implementing solution and overall testing, This course will help you in preparing and mastering your Azure Data engineering Concepts. It is not like any random project like covid, Best online Course to Engineering Project Building from scratch including designing, architecting, implementing solution and overall.

Instructor Deepak Goyal



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Azure Data Engineer online trainingWhat you'll learn 2 Real World Azure Data Engineer Project End to End 

  • You will learn how to Architect, Design and build a real-world enterprise level data platform solution including multiple services.
  • You will learn design solution using ADF, Azure Function, Databricks, pyspark, Azure Data lake storage Gen 2 (ADLS), Azure SQL Server
  • You will learn how to build a real-world data pipeline in Azure Data Factory (ADF). This course has been taught using 2 real world use case scenarios.
  • You will learn how to transform data using Databricks Notebook Activity in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2
  • You will learn how to build production ready pipelines and good practices and naming standards
  • You will learn how to integrate Databricks with ADF and send the response back from Databricks to ADF
  • You will learn how to develop the triggered based Azure Function to validate files.
  • You will learn how to create Azure Key vault and use it to store secret credentials and SAS token
  • You will learn how to connect the Azure SQL Database and Databricks cluster using the Key Vault
  • You will learn how to mount he Azure Storage Account in the Databricks to access the files and preform transformation on it.
  • You will learn how to transform the data in the Azure Databricks using the pyspark.

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