Microsoft Azure Data Fundamentals (6 hours)
Course Contents
₹16,500 ₹0
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.
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:
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Basic understanding of core data concepts and how data is created, stored, and processed.
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Familiarity with the concept of relational databases and how they function.
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Some knowledge or experience with data processing and analytics concepts.
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An introductory level of understanding of cloud services, particularly Microsoft Azure, is beneficial but not mandatory.
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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.
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