Course outline

Module 1: Design big data batch processing and interactive solutions (552241A)
This module explains how to load data into Microsoft Azure for batch processing.
Lessons
• Module Objectives
• Lesson 1: Ingest data for batch processing
• Lesson 2: Design for batch processing
• Lesson 3: Design interactive queries
• Review
Lab: Design big data batch processing and interactive solutions
• Exercise 1: Load data into Microsoft Azure
• Exercise 2: Prepare data for batch processing
• Exercise 3: Query the data
After completing this module, students will be able to use PowerShell to:
• Load data into Microsoft Azure
• Prepare data for batch processing
• Query the data

Module 2: Design Big Data Real-Time Processing Solutions (552241A)
This module explains how to load data into Microsoft Azure for real-time processing.
Lessons
• Module Objectives
• Lesson 1: Ingest data for Real-Time Processing
• Lesson 2: Designing for Real-Time Processing
• Lesson 3: Design interactive queries for Big Data
• Review
Lab: Design Big Data Real-Time Processing Solutions
• Exercise 1: Load data into Microsoft Azure
• Exercise 2: Prepare data for Real-Time Event Processing
• Exercise 3: Visualize the Data
After completing this module, students will be able to use PowerShell to:
• Load data into Microsoft Azure
• Prepare data for real-time event processing
• Visualize the data

Module 3: Operationalize end-to-end cloud analytics solutions (552242A)
This module explains how to Azure Data Factory to centrally manage data from different sources.
Lessons
• Module Objectives
• Lesson 1: Create a data factory
• Lesson 2: Create a data-driven workflow
• Lesson 3: Monitor and Manage the data factory
• Lesson 4: Move, Transform and Analyze Data
• Lesson 5: Design a deployment strategy for an end-to-end solution
• Review
Lab: Operationalize end-to-end cloud analytics solutions
• Exercise 1: Create a data factory
• Exercise 2: Create a data-driven workflow
• Exercise 3: Monitor and Manage the data factory
• Exercise 4: Move, Transform and Analyze Data
• Exercise 5: Design a deployment strategy for an end-to-end solution
After completing this module, students will be able to use PowerShell to:
• Create, Manage & Monitor a data factory
• Create a data driven workflow
• Move, Transform and Analyze Data
• Create a deployment strategy using PowerShell

Module 4: PowerShell for Technology Professionals (552241A 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 : Operationalize end-to-end cloud analytics solutions
• Exercise 1: Use PowerShell to get Computer Information
• Exercise 2: Use PowerShell documentation to understand and use cmdlets
• Exercise 3: Create and execute scripts
• Exercise 4: Configure and test Remote Management
• Exercise 5: 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