Öppna kurser

DP-900 Microsoft Azure Data Fundamentals

In this Microsoft Azure Data Fundamentals course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services.

Utbildningsmål

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.

  • 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.

Förkunskaper

Fundamentals students start with some basic awareness of computing and Internet concepts and an interest in extracting insights from data.

  • 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.

Innehåll

Module 1: Explore core data concepts

  • 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

Module 2: Explore fundamentals of relational data in Azure

  • 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

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

  • 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

Module 4: Explore fundamentals of data analytics

  • 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

 

Kursen levereras genom utbildningspartner: Global Knowledge