Outline

Module 1: Design big data batch processing and interactive solutions

Covered in 55224A-1: This module explains how to load data into Microsoft Azure for batch processing.

Lessons:

• Ingest data for batch processing
• Design for batch processing
• Design interactive queries
• Review

Lab: Design big data batch processing and interactive solutions

• Load data into Microsoft Azure
• Prepare data for batch processing
• Query the data

After completing this module, students will be able to:

• Load data into Microsoft Azure
• Prepare data for batch processing
• Query the data

Module 2: Design big data real-time processing solutions

Covered in 55224A-1: This module explains how to load data into Microsoft Azure for real-time processing.

Lessons:

• Ingest data for real-time processing
• Design for real-time processing
• Design interactive queries for big data
• Review

Lab: Design big data real-time processing solutions

• Load data into Microsoft Azure
• Prepare data for real-time event processing
• Visualize the data

After completing this module, students will be able to:

• Load data into Microsoft Azure
• Prepare data for real-time event processing
• Visualize the data

Module 3: Design Machine Learning solutions

Covered in 55224A-2: This module explains how to use machine learning models to automate data analysis.

Lessons:

• Create workspaces
• Select models and query parameters
• Publish web services
• Review

Lab: Design Machine Learning solutions

• Create workspaces
• Select models and query parameters
• Publish web services

After completing this module, students will be able to:

• Create and share workspaces
• Select models and query parameters
• Access the machine learning models

Module 4: Operationalize end-to-end cloud analytics solutions

Covered in 55224A-2: This module explains how to Azure Data Factory to centrally manage data from different sources.

Lessons:

• Create a data factory
• Manage and Monitor the data factory
• Deploy end-to-end solutions using PowerShell
• Review

Lab: Operationalize end-to-end cloud analytics solutions

• Create a data factory
• Manage and Monitor the data factory
• Deploy end-to-end solutions using PowerShell

After completing this module, students will be able to:

• Create a data factory
• Manage and Monitor the data factory
• Deploy a data factory using PowerShell