Microsoft Azure Data Fundamentals: Explore core data concepts

Go to class
Write Review

Free Online Course: Microsoft Azure Data Fundamentals: Explore core data concepts provided by Microsoft Learn is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge.

Overview
    • Module 1: Explore core data concepts
    • In this module, you will:

      • Identify how data is defined and stored
      • Identify characteristics of relational and non-relational data
      • Describe and differentiate data workloads
      • Describe and differentiate batch and streaming data
    • Module 2: Explore roles and responsibilities in the world of data
    • In this module, you will:

      • Explore data job roles
      • Explore common tasks and tools for data job roles
    • Module 3: Describe concepts of relational data
    • In this module, you will:

      • Explore the characteristics of relational data
      • Define tables, indexes, and views
      • Explore relational data workload offerings
    • Module 4: Explore concepts of non-relational data
    • In this module, you will:

      • Explore the characteristics of non-relational data
      • Define types of non-relational data
      • Describe types of non-relational and NoSQL databases
    • Module 5: Explore concepts of data analytics
    • In this module, you will:

      • Learn about data ingestion and processing
      • Explore data visualization
      • Explore data analytics

Syllabus
    • Module 1: Explore core data concepts
      • Introduction
      • Identify the need for data solutions
      • Identify types of data and data storage
      • Describe the difference between batch and streaming data
      • Knowledge check
      • Summary
    • Module 2: Explore roles and responsibilities in the world of data
      • Introduction
      • Explore job roles in the world of data
      • Review tasks and tools for database administration
      • Review tasks and tools for data engineering
      • Review tasks and tools for data visualization and reporting
      • Knowledge check
      • Summary
    • Module 3: Describe concepts of relational data
      • Introduction
      • Explore the characteristics of relational data
      • Explore relational data structures
      • Choose the right platform for a relational workload
      • Knowledge check
      • Summary
    • Module 4: Explore concepts of non-relational data
      • Introduction
      • Explore characteristics of non-relational data
      • Describe types of non-relational data
      • Describe types of non-relational and NoSQL databases
      • Knowledge check
      • Summary
    • Module 5: Explore concepts of data analytics
      • Introduction
      • Describe data ingestion and processing
      • Explore data visualization
      • Explore data analytics
      • Knowledge check
      • Summary