This is not a course to learn Azure , but rather how a database developer uses Azure .

Data Science is the science of data and now this data is vastly moving towrds cloud as data is everywhere and because of the vast changing world managing the huge data and getting the proper insight out of the data became very important but maintaining the huge data is a new challenge. Azure and other cloud platform such as AWSand Google Cloud provide a very convincing and appropriate solution for the vast changing data reality and thus extending the Data Science to Cloud. Cloud computing architecture refers to the components and sub components required for cloud computing. These components typically consist of a front end platform, back end platforms, a cloud-based delivery, and a network. Combined, these components make up cloud computing architecture.

• Big Data : The Vast Changing World Of Data

• Modern Data Architecture Using Microsoft azure

• Introduction To Azure & Key Features

  • SAAS, PAAS, IAAS

  • Different Services In Azure

  • Data Management

  • Identity And Access Management

  • App Services

  • Load Balancer

  • Windows Powershell

  • Container

  • Azure Key Vault

  • Azure Storage Explorer

  • Multy Factor Authentication

• Azure Portal

• Azure Resource Groups

• Introduction To Azure Data Catalog

• SQL Server Virtual Machine Creation On Azure

• Connecting Azure SQL Server Using RDP

• Azure Synapse Analytics(Formerly SQL Data Warehouse)

• Connect Azure SQLData Warehouse With SSMS

  • Importing Exporting Data

• Reading Azure SQL Table Data Using Databricks