Explore Core Data Concepts in Microsoft Azure
This course is part of Microsoft Azure Data Fundamentals DP-900 Exam Prep.
In this comprehensive course, you will learn the fundamentals of database concepts in a cloud environment, focusing specifically on Microsoft Azure. The curriculum covers essential knowledge of cloud data services, exploring how to identify and describe core data concepts such as relational, non-relational, big data, and analytics within Azure's implementation framework. You'll discover the key roles, tasks, and responsibilities in the data world, including database administration, data engineering, and data visualization. The course examines how data is defined, stored, and processed, comparing batch and streaming approaches. You'll learn about relational data structures, tables, indexes, and query optimization alongside non-relational data models. This knowledge foundation is ideal for IT professionals seeking roles as Data Engineers or Database Administrators, as well as for working database professionals looking to expand their expertise into cloud environments.
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What you'll learn
Describe core data concepts and identify how data is defined and stored
Differentiate between job roles in the world of data
Understand the difference between batch and streaming data
Identify characteristics of relational and non-relational data
Choose appropriate platforms for relational and non-relational workloads
Explain data ingestion, processing, visualization, and analytics concepts
Skills you'll gain
This course includes:
2.4 Hours PreRecorded video
9 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 2 modules in this course
This course provides a comprehensive introduction to fundamental database concepts in the Microsoft Azure cloud environment. The first module focuses on different job roles in data management, covering database administration, data engineering, and data visualization. Students learn how to organize and process data, exploring both relational and non-relational databases, and the differences between batch and streaming data processing. The second module dives deeper into relational and non-relational data models, examining how tables are structured, how indexes improve query performance, and how views simplify complex queries. The course also covers choosing the right platform for different data workloads, data ingestion, processing, visualization, and analytics. This foundational knowledge prepares students for the Microsoft Azure Data Fundamentals DP-900 certification exam.
Core Data Concepts and Roles
Module 1 · 5 Hours to complete
Concepts of Relational and Non-relational Data
Module 2 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Microsoft Azure Data Fundamentals DP-900 Exam Prep
Instructor
Empowering Individuals and Organizations Through Technology
Microsoft's mission is "to empower every person and every organization on the planet to achieve more," reflecting its commitment to leveraging technology for global empowerment. The company aims to drive digital transformation through an integrated cloud approach, creating a robust platform that enhances productivity and accessibility for users worldwide. Its vision statement emphasizes the goal of democratizing artificial intelligence, ensuring that AI technologies are accessible and beneficial for everyone. This focus on empowerment and inclusivity underpins Microsoft's strategies and product development, positioning it as a leader in innovation within the technology sector. The company has consistently pursued excellence by fostering a culture of innovation, diversity, and corporate social responsibility, ultimately aiming to improve quality of life and facilitate progress across various fields, including education, healthcare, and business.
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4.7 course rating
438 ratings
Frequently asked questions
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