DP-900T00: Microsoft Azure Data Fundamentals Course Overview

DP-900T00: Microsoft Azure Data Fundamentals Course Overview

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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  • Live Online Training (Duration : 8 Hours)
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Course Prerequisites

To ensure you have the best learning experience in the DP-900T00: Microsoft Azure Data Fundamentals course, we recommend that you possess the following minimum prerequisites:

  • Basic understanding of core data concepts and how data is created, stored, and processed.
  • Familiarity with the concept of relational databases and how they function.
  • Some knowledge or experience with data processing and analytics concepts.
  • An introductory level of understanding of cloud services, particularly Microsoft Azure, is beneficial but not mandatory.
  • Eagerness to learn about Azure data services, including relational and non-relational data offerings, as well as modern data warehouse analytics.

Please note that while prior experience in these areas can be helpful, the course is designed to introduce these concepts to beginners. Therefore, a strong willingness to learn and engage with the course material is the most important prerequisite.

Target Audience for DP-900T00: Microsoft Azure Data Fundamentals

The DP-900T00: Microsoft Azure Data Fundamentals course is designed for individuals seeking foundational knowledge in data services within Azure.

Target audience for the DP-900T00 course includes:

  • Beginners interested in learning about data concepts and Azure data services
  • IT professionals looking to expand their knowledge on Azure's data solutions
  • Data analysts who want to understand Azure data storage and processing
  • Database administrators aiming to explore Azure's relational and non-relational databases
  • Data scientists who require an understanding of Azure's data services for their analytics work
  • Developers who need to integrate Azure data services into their applications
  • Business intelligence professionals who plan to use Azure for data warehousing and analytics
  • Students and educators seeking a fundamental understanding of cloud data services
  • Technical managers looking for an overview of Azure's data offerings to make informed decisions
  • Professionals preparing for the Microsoft Azure Data Fundamentals certification exam

Learning Objectives - What you will Learn in this DP-900T00: Microsoft Azure Data Fundamentals?

Introduction to DP-900T00: Microsoft Azure Data Fundamentals Course Learning Outcomes:

Gain foundational knowledge of core data concepts, Azure data services, and the roles within the data landscape, setting the stage for deeper exploration into Azure's database solutions.

Learning Objectives and Outcomes:

  • 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.