Microsoft Azure Big Data Analytics Solutions (552241)

Course Overview

• 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

Prerequisites

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 the course.)