DP-900T00: Microsoft Azure Data Fundamentals

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About Course

The DP-900T00: Microsoft Azure Data Fundamentals course is designed to introduce learners to the core data concepts and the Azure data services that can handle a broad range of data processing and analytics needs. It targets those interested in beginning to work with data in the cloud.Module 1 lays the foundation by exploring basic data concepts, the various data roles and responsibilities, and differentiates between relational and non-relational data, alongside an overview of data analytics.Module 2 delves into Azure’s relational data services, provisioning, deployment, and querying of relational databases, which is pivotal for managing structured data.Module 3 shifts focus to non-relational data offerings in Azure, demonstrating how to provision, deploy, and manage non-relational data stores, catering to scalable and flexible data storage needs.Finally, Module 4 offers insights into modern data warehouse analytics, covering data ingestion, storage, processing in Azure, and visualization with Power BI.This course is beneficial for individuals seeking to understand data concepts and analytics, and those aiming to implement data solutions using Microsoft Azure services. It prepares learners for the DP-900 certification exam, which can enhance their professional credentials in the field of data and analytics.

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What Will You Learn?

  • Understand the basic principles and concepts of data, including data processing, storage, and analytics.
  • Recognize various roles and responsibilities in data-related fields and how they contribute to data management and governance.
  • Describe the characteristics of relational data and databases, as well as their significance in the data world.
  • Explore Azure's relational data services, including Azure SQL Database and Azure Synapse Analytics, and how to provision and deploy them.
  • Develop the skills to query relational data using tools provided within the Azure ecosystem.
  • Comprehend the differences between relational and non-relational data, and when to utilize each type.
  • Investigate Azure's non-relational data offerings, such as Azure Cosmos DB, and learn to manage these services effectively.
  • Understand the management and maintenance of non-relational data stores in Azure, including scaling and monitoring.
  • Examine the architecture and components of a modern data warehouse and how it integrates with Azure services.
  • Gain introductory experience with Power BI for data visualization and insights, as a stepping stone to more advanced data analytics work.