Explore Core Data Concepts in Microsoft Azure (Coursera)

This is the first course in a program of five courses to help prepare you to take the Exam DP-900: Microsoft Azure Data Fundamentals. so that you can demonstrate that you have a foundational knowledge of the core database concepts in a cloud environment.

This course is ideal for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure with a view to taking up roles as Data Engineers and Database Administrators. It is also suitable for working database professionals looking for additional skills or credentials to showcase expertise in a cloud environment and IT professionals looking to specialize in the specific area of Azure data.

To be successful in this course, you need to have basic computer literacy and proficiency in the English language. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data. It is an advantage to have experience using a web browser, familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet, and visualizing data using charts.

Course 1 of 5 in the Microsoft Azure DP-900 Data Fundamentals Exam Prep Specialization

Syllabus

WEEK 1

Core Data Concepts and Roles

In this module, you'll learn about the different jobs roles associated with creating, managing, and using databases. You learn about the key responsibilities of these roles, and the tools that these roles use. You will also discover how you can organize and process data, explore relational and non-relational databases, and discover how you can process data in batches or using streams.

WEEK 2

Concepts of Relational and Non-relational Data

In this module, you will explore the relational and non-relational models for databases, how tables are structured, how you can use indexes to improve query performance, and how you can use views to simplify complex queries.