This course is intended for experienced data professionals who design and build big data analytics solutions on Microsoft Azure.

Module 1: Operationalize end-to-end cloud analytics solutions

This module explains how to Azure Data Factory to centrally manage data from different sources.

Lessons

• Create a data factory
• Create a data-driven workflow
• Monitor and manage the data factory
• Move, Transform and Analyze Data
• Design a deployment strategy for an end-to-end solution
• Review

Lab : Operationalize end-to-end cloud analytics solutions

• Create a data factory
• Create a data-driven workflow
• Monitor and manage the data factory
• Move, Transform and Analyze Data
• Design a deployment strategy for an end-to-end solution

After completing this module, students will be able to:

• Create, Manage & Monitor a data factory
• Create a data driven workflow
• Move, Transform and Analyze Data
• Create a deployment strategy using the Azure Portal or PowerShell

Module 2: Appendix B: PowerShell for Technology Professionals (Optional)

This module explains how to use PowerShell to administer computer, network, application and Azure resources.

Lessons

• Introduction
• Compared to Other Scripting Languages
• Configuring and Using PowerShell
• Creating and Running Scripts
• Administering Local Resources
• Administering Network Resources
• Resolve PowerShell Scripting Problems.

Lab : Lab B: Operationalize end-to-end cloud analytics solutions

• Use PowerShell to get Computer Information
• Use PowerShell documentation to understand and use cmdlets
• Create and execute scripts
• Configure and test Remote Management
• Create and Azure VM with Azure PowerShell

After completing this module, students will be able to use PowerShell to:

• Use PowerShell to get Computer Information
• Use PowerShell documentation to understand and use cmdlets
• Create and execute scripts
• Configure and test Remote Management
• Create and Azure VM with Azure PowerShell

After completing this course, students will be able to:

• Create a Data Factory
• Orchestrate data processing activities in a data-driven workflow 
• Monitor and Manage a Data Factory 
• Move, Transform or Analyze data 
• Design a deployment strategy for end-to-end solutions with Azure Portal or PowerShell

Before attending this course, students must have:

• Experience processing and querying bulk data
• Experience analyzing real-time and historical data
• Experience using SQL and data analysis / visualization tools (e.g. Power BI)
• Experience using PowerShell (Note: A basic PowerShell tutorial is included in 552241A.)