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Azure Data Engineer

Design, build, and manage robust data systems on Microsoft Azure.

  • 2 Months
  • 4.7 Rating
  • 4 live Projects
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Curriculum To Crack
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  • 10+ Modules
  • 60+ Hours of Learning
  • 4 Live Projects
  • 12+ Tools
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Module 1

  • Understanding different Cloud Models
  • Advantages of Cloud Computing
  • Different Cloud Services
  • Different Cloud vendors in the market

Module 2

  • Introduction to Azure, Azure cloud computing features, Azure Services
  • Introduction of Azure Resources/Services with examples
  • Azure management portal, Advantage of Azure Cloud Computing

Module 3

  • What is Azure Resource Manager, Resource Groups in Azure
  • Different types of Storage Accounts provisioning in Cloud computing
  • Blob/container storage services: Page Blob, Append Blob, Block Blob
  • Standard Storage Account and Premium Storage account
  • Data Lake storage Gen2 Storage Account, Management of Storage keys and connection strings
  • Implementing access levels for Azure Storage accounts

Module 4

  • Migration of storage contents across Public & Private Clouds
  • Moving data between Resource Groups, Data migration from On-prem to Azure Storage account
  • Data migration from public cloud to Private cloud, Using AzCopy for data migration
  • Different types of storage replication for Disaster Recovery

Module 5

  • Azure Key Vault: purpose and benefits
  • Storing SA keys and connection strings in Azure Key Vault
  • Generating and managing secrets in Azure Key Vault, Implementing access policies for Key Vault

Module 6

  • Introduction to SQL DB's
  • Creating and managing SQL DB's in On-prem and Cloud computing
  • Planning and deploying Azure SQL Database
  • Managing Azure SQL Database security
  • Different DB deployment options
  • SQL DB migration using Microsoft Data Migration Assistant
  • Restoring SQL DBs in the cloud

Module 7

  • Introduction to SQL DB Queries
  • Detailed explanations and syntax for various SQL queries
  • SQL Joins and Union queries, Group By, Having, Subqueries, and window functions
  • Basic SQL Server concepts and connection establishment
  • Azure SQL DB connectivity and firewall rules

Module 8

  • Introduction to Azure Data Factory (ADF)
  • Components of ADF: Pipelines, Activities, Datasets, Linked Services
  • Building blocks of ADF: Triggers, Integration runtime, Dataflow, Walkthrough of Azure Data Factory studio
  • Different triggers and their implementation, integration runtime types and their usage

Module 9

  • Data movement activities in ADF, Data transformation activities in ADF
  • Control flow activities in ADF, Datasets and Linked services in ADF
  • Copying data across various sources to Azure IAAS & PAAS Services
  • Implementation of data transformations using ADF

Module 10

  • Scheduling triggers for automation of Dataflow/Data copy in ADF
  • Integration of ADF with GitHub Portal
  • Integration of ADF with Azure DevOps Portal
  • Introduction to Azure Databricks and Apache Spark
  • Architecture and components of Apache Spark
  • Azure Databricks clusters and configuratio
  • 10+ Modules
  • 60+ Hours of Learning
  • 4 Live Projects
  • 12+ Tools
Download Curriculum

Tools & Technologies Covered

Get certificate of completion

Certificates will be conferred upon candidates who have maintained an attendance rate exceeding 90% and have attained a minimum score of 60% in the monthly assessments upon completion of the program.

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