Microsoft Azure Data Fundamentals Training (DP-900)

In this Microsoft Azure Data Fundamentals course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualisation.

Azure Data Fundamentals Delivery Methods

• In-Person

• Online

Azure Data Fundamentals Course Information

• In this Azure Data Fundamentals course, you will learn how to:

  • Describe core data concepts.
  • Identify considerations for relational data on Azure.
  • Describe considerations for working with non-relational data on Azure.
  • Describe an analytics workload on Azure.
  • Continue learning and face new challenges with after-course one-on-one instructor coaching.

• Azure Data Fundamentals Prerequisites

  Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts and an interest in extracting insights from data.

  Specifically:

  • Experience using a web browser, such as Microsoft Edge.
  • Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.
  • A willingness to learn through hands-on exploration.

• Microsoft Azure Data Fundamentals Training (DP-900) Certification Information

  This course can help you prepare for the following Microsoft role-based certification exam — Exam DP-900: Microsoft Azure Data Fundamentals .

Azure Data Fundamentals Instructor-Led Course Outline

Module 1: Explore core data concepts

In this Module, you will learn how to:

• 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
• Identify common data professional roles
• Identify common cloud services used by data professionals

Lessons

• Core data concepts
• Data roles and Services

Module 2: Explore fundamentals of relational data in Azure

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
• Identify options for Azure SQL services
• Identify options for open-source databases in Azure
• Provision a database service on Azure

Lessons

• Explore relational data offerings in Azure
• Explore Azure services for relational data

Lab: Provision Azure relational database services

Module 3: Explore fundamentals of non-relational data in Azure

In this Module, you will 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
• 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

Lessons

• Fundamentals of Azure Storage
• Fundamentals of Azure Cosmos DB

Lab: Explore Azure Storage

Lab: Explore Azure Cosmos DB

Module 4: Explore fundamentals of data analytics

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
• 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
• Describe a high-level process for creating reporting solutions with Microsoft Power BI
• Describe core principles of analytical data modelling
• Identify common types of data visualization and their uses
• Create an interactive report with Power BI Desktop

Lessons

• Modern data warehousing
• Streaming and real-time analytics
• Data visualization

Lab: Analyze streaming data

Lab: Visualize data with Power BI

Lab: Explore Azure Synapse Analytics