DP-900: Microsoft Azure Data Fundamentals
What you'll learn
- Understand types of core data workloads and data analytics core concepts
- Understand how to work with relational data on Azure, including Azure SQL Database and Managed Instance
- Understand how to work with non-relational data on Azure, including Cosmos DB APIs, Table, Blob and File storage
- Describe analytics workloads, including data warehouses, data ingestion and processing on Azure
- Describe data visualization in Microsoft Power BI, including reports and dashboards
Requirements
- You need to know how to use a computer, and hopefully know how to use a spreadsheet.
- No prior knowledge of databases required.
- All of the programs used can be installed on Windows, and some can be installed on macOS.
- There is a 30-day refund guarantee of this Udemy course (see Udemy's refund policy).
- Why not have a look at the curriculum below and see what you can learn?
Description
This course is the foundation for the Microsoft Certificate DP-900 "Azure Data Fundamentals", and focuses on relational and non-relational data, together with analytics workloads.
What do people like you say about this course?
Girma says: "Great! – Azure would never be difficult (as most of us think) after thoroughly going through this course."
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We'll start off with looking at relational data. We'll create an Azure account, install an Azure SQL Database and query it. We'll then look at the 6 different clauses of the SELECT statement - SELECT, FROM, WHERE, GROUP BY, HAVING and ORDER BY. After this, we'll have a look at other relational databases, including Azure Databases for PostgreSQL, MariaDB and MySQL.
After that, we'll look at non-relational data using semi-structured and non-structured data. We'll look at the five different Cosmos DB database interfaces or APIs, and which one you should use for your particular needs. We'll also look at Table, Blob and File storage.
We'll then look at analytics workloads, including Azure data services for modern data warehouses such as Azure Data Lake, Synapse Analytics, Databricks and HDInsight.
Finally, we'll look at Microsoft Power BI and how to create basic reports and dashboards.
No prior knowledge is required - we'll even see how to get a free Azure trial!
There are regular quizzes to help you remember the information, so you can be sure that you are learning.
Once you have finished this course, you will have a good introductory knowledge of core data concepts and how they are implemented using Microsoft Azure data services. And with some practice, you could even go for an official Microsoft certification - wouldn't that look good on your CV or resume?
Who this course is for:
- This course is for you if you use data, and want to understand what is available on Azure.
- By the end of this course, after entering the official Practice Tests, you could enter (and hopefully pass) Microsoft's official DP-900 exam.
- Wouldn't the "Microsoft Certified: Azure Data Fundamentals" certification look good on your CV or resume?
Course content
- Preview02:22
- 00:35Welcome to Udemy
- 02:00The Udemy Interface
- 10:16Curriculum
- Preview05:06
- 00:11Resources
Instructor
![Phillip Burton](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.5 Instructor Rating
- 39,792 Reviews
- 283,587 Students
- 43 Courses
Phillip is a Computing Consultant providing expert services in the development of computer systems and data analysis. He is a Microsoft Certified Technology Specialist. He has also been certified as a Microsoft Certified Solutions Expert for Business Intelligence, Microsoft Office 2010 Master, and as a Microsoft Project 2013 Specialist.
He enjoys investigating data, which allows him to maintain up to date and pro-active systems to help control and monitor day-to-day activities. He has also developed expertise and programmes to catalogue and process and control electronic data, large quantities of paper or electronic data for structured analysis and investigation.
He is one of 9 award winning Experts for Experts Exchange's 11th Annual Expert Awards and was one of Expert Exchange's top 10 experts for the first quarter of year 2015.
His interests are working with data, including Microsoft Excel, Access and SQL Server.