Course Outline – 2 Months Training Program

  • What is Cloud:
    • Infrastructure as a service
    • Platform as a Service
    • Software as a Service
  • What is cloud storage:
    • Azure Blob
      • Hot Access Tier
      • Cold Access Tier
    • Azure Containers
    • Azure Tables
    • Azure Data Lake Store
    • Difference between Blob and Data Lake Store
  • Disk storage for VMs:
    • How to scale disk on the fly.
  • Data Lake Analytics:
    • Sources and Destinations
    • Transformations using
      • U-SQL (Basics)
      • R (Basics)
      • Python (Basics)
      • C# assembly (Basics)
  • Azure Data Factory
    • What is ETL and ELT
    • Datasets
    • Pipeline
    • Linked Services
      • FTP, SFTP, Storage
    • Monitor and Manage
    • Metrics and Operations
  • Data Catalog
    • Metadata Understanding
  • Machine Learning Studio (Introduction)

  • Service Bus:
    • Event Hubs
    • Relays
    • Message Queues
  • Stream Analytics:
    • Stream analytics Query Language
    • Event Hubs as source and Power BI as destination
    • Event Hubs as source and SQL Database as destination
  • SQL Data Warehouse:
    • Data Warehousing Overview
    • Schema Designing
    • Data Partitioning
      • Round Robin Strategy
      • Replication Strategy
      • Hashing Strategy
  • Databases
    • SQL Database
    • Cosmos DB
  • Security
    • Azure Active Directory
    • Key Vault Store
  • Developer Tools
    • Visual Studio Team Services
  • Deployment
    • ARM deployment
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