Data Engineering on Azure: RC Morgan

Ridhi r

Abstract


In order to transfer huge amount of data we need cloud computing. Microsoft Azure is one of the cloud computing platforms. The Azure data engineers combine, convert, and consolidate data from a variety of structured and unstructured data sources to improve structures that can be used to produce analytics solutions. In this paper, we'll demonstrate how to validate incoming data in the Azure Data Lake storage account and, by using Azure Databricks Notebook, we'll write some rules of validation and secure it by using a key vault.


Keywords


Azure Data Lake Storage Gen 2, Azure Data Factory, Pipeline, Azure Databricks, Azure Key Vault, Azure SQL DB, SSMS, Trigger, SAS token, Secrets scope.

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