MS-DP-900: Microsoft Azure Data Fundamentals

Module 1: Explore Core Data Concepts

• Data powers the digital transformation that is sweeping across organizations and society in general. But what is “data”, and how is it represented and used?

Learning objectives

• In this module you will learn how to:
  • Identify common data formats
  • Describe options for storing data in files
  • Describe options for storing data in databases
  • Describe characteristics of transactional data processing solutions
  • Describe characteristics of analytical data processing solutions

Prerequisites

• None

Module 2: Explore Data Roles and Services

• Data professionals perform distinct roles in building and managing software solutions, and work with multiple technologies and services to do so.

Learning objectives

• In this module you will learn how to:
  • Identify common data professional roles
  • Identify common cloud services used by data professionals

Prerequisites

• None

Module 3: Explore Fundamental Relational Data Concepts

• Relational database systems are a common way to store and manage transactional and analytical data in organizations of any size around the world.

Learning objectives

• In this module you will learn how to:
  • Identify characteristics of relational data
  • Define normalization
  • Identify types of SQL statement
  • Identify common relational database objects

Prerequisites

• None

Module 4: Explore Relational Database Services in Azure

• Microsoft Azure provides multiple services for relational databases. You can choose the relational database management system that’s best for your needs, and host relational data in the cloud.

Learning objectives

• In this module, you’ll learn how to:
  • Identify options for Azure SQL services
  • Identify options for open-source databases in Azure
  • Provision a database service on Azure

Prerequisites

• Before starting this module, you should have a fundamental understanding of relational data concepts and some familiarity with Microsoft Azure and the Azure portal.

Module 5: Explore Azure Storage for Non-Relational Data

• Azure Storage is a core service in Microsoft Azure that is commonly used to store non-relational data.

Learning objectives

• In this module, you’ll learn how to:
  • Describe features and capabilities of Azure blob storage
  • Describe features and capabilities of Azure Data Lake Gen2
  • Describe features and capabilities of Azure file storage
  • Describe features and capabilities of Azure table storage
  • Provision and use an Azure Storage account

Prerequisites

• Before starting this module, you should have some familiarity with Microsoft Azure concepts and the Azure portal.

Module 6: Explore Fundamentals of Azure Cosmos DB

• Azure Cosmos DB provides a highly scalable store for non-relational data.

Learning objectives

• In this module, you’ll learn how to:
  • Describe key features and capabilities of Azure Cosmos DB
  • Identify the APIs supported in Azure Cosmos DB
  • Provision and use an Azure Cosmos DB instance

Prerequisites

• Before starting this module you should have some familiarity with Microsoft Azure concepts and the Azure portal.

Module 7: Explore Fundamentals of Large-Scale Data Warehousing

• Organizations use modern data warehousing to build large scale data analytics solutions that generate insights and drive success. Microsoft Azure includes multiple technologies that you can combine to build a modern data warehousing solution.

Learning objectives

• In this module, you will learn how to:
  • Identify common elements of a modern data warehousing solution
  • Describe key features for data ingestion pipelines
  • Identify common types of analytical data store and related Azure services
  • Provision Azure Synapse Analytics and use it to ingest, process, and query data

Prerequisites

• Before starting this module, you should have a conceptual understanding of data and databases, and be familiar with Microsoft Azure services for data workloads such as Azure Storage, Azure SQL Database, and Azure Cosmos DB.

Module 8: Explore Fundamentals of Real-Time Analytics

• Learn about the basics of stream processing, and the services in Microsoft Azure that you can use to implement real-time analytics solutions.

Learning objectives

• In this module, you’ll learn how to:
  • Compare batch and stream processing
  • Describe common elements of streaming data solutions
  • Describe features and capabilities of Azure Stream Analytics
  • Describe features and capabilities of Spark Structured Streaming on Azure
  • Describe features and capabilities of Azure Synapse Data Explorer

Prerequisites

• Before starting this module, you should have some conceptual understanding of modern data warehousing and analytics, and you should be familiar with Azure services for data workloads, including Azure Storage, Azure SQL Database, and Azure Synapse Analytics.

Module 9: Explore Fundamentals of Data Visualization

• Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.

Learning objectives

• After completing this module, you will be able to:
  • Describe a high-level process for creating reporting solutions with Microsoft Power BI
  • Describe core principles of analytical data modeling
  • Identify common types of data visualization and their uses
  • Create an interactive report with Power BI Desktop

Prerequisites

• None