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DP-900T00: Microsoft Azure Data Fundamentals Course Overview

The DP-900 course, Microsoft Azure Data Fundamentals, is designed to provide students with foundational knowledge of core data concepts and the relevant data services available on the Microsoft Azure platform. Throughout the course, students will gain a comprehensive understanding of various data concepts and how they relate to the Azure ecosystem. The primary focus of the DP-900 course is to introduce students to core data concepts, including relational, non-relational, big data, and analytics. They will learn about the different types of data and their characteristics, enabling them to make informed decisions about data storage and processing. Additionally, the course covers essential cloud data services available on Microsoft Azure. Students will explore and gain foundational knowledge of these services, understanding their purpose and functionalities within the Azure environment. They will delve into relational database services provided by Azure, learning about fundamental concepts and their application in real-world scenarios. Furthermore, students will explore Azure storage options for non-relational data, gaining insights into managing and working with non-relational data sources. The course also introduces Azure Cosmos DB, a globally distributed and scalable NoSQL database service, providing students with a solid understanding of its features and capabilities. Moreover, students will learn about large-scale data warehousing, real-time analytics, and data visualization. They will understand the concepts behind these advanced data processing techniques and explore the Azure services available for implementing them. By the end of the DP-900 course, students will have developed a strong foundation in core data concepts and the data services offered on Microsoft Azure. They will be equipped with the knowledge required to make informed decisions regarding data storage, processing, and analytics. This course serves as a stepping stone for further exploration and specialization in data-related roles and technologies within the Azure ecosystem.
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Course Introduction

Price:

USD 300

Duration:

8 Hrs.

The primary audience for this course includes individuals who are seeking to learn the fundamentals of database concepts in a cloud environment. These individuals may be new to the field of data management and want to gain a solid understanding of core data concepts and how they are applied within the context of cloud computing. Additionally, the course is suitable for those who wish to acquire basic skilling in cloud data services. It serves as an entry point for individuals who want to explore the capabilities and functionalities of cloud-based data services, specifically within the Microsoft Azure ecosystem. Furthermore, the course is valuable for individuals who aim to build their foundational knowledge of cloud data services within Microsoft Azure. These individuals may be aspiring data professionals or those transitioning into roles that involve working with data in the Azure cloud. By completing this course, they will establish a strong foundation in Azure data services and gain the necessary knowledge to work with databases and data-related tasks within the Azure environment. Overall, the DP-900 course targets individuals who are interested in learning the fundamentals of database concepts in a cloud environment, developing basic skills in cloud data services, and building a foundational understanding of cloud data services within Microsoft Azure. It serves as a starting point for individuals looking to expand their knowledge and pursue further specialization in cloud-based data management.
Prerequisite certification is not required before taking this DP 900 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.
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