Exam Tips: Microsoft Azure Data Fundamentals (DP-900)
1h 53mBeginner2021-03-09
Authors

Emilio Melo
Cloud solutions architect with 20+ years of IT experience
Course details
Data is everywhere, and companies need it to better understand their customers and competitors and to make sound business decisions. Azure is among the best options on the market. In this course, instructor Emilio Melo covers the most important topics on the DP-900 exam, the first certification of Microsoft’s data path. Emilio explains the DP-900 certification and exam, then goes into core data concepts, such as data processing and data analytics. He goes into ways to work with relational data in Azure, including hosting options and relational database offerings in Azure. Azure also has ways to handle non-relational data, and Emilio discusses several options. He goes over analytics workloads, then concludes with insights on data warehousing in Azure and Power BI.
Skills covered
Data EngineeringAzureNetwork AdministrationCloud PlatformsCert PrepNetwork and System AdministrationCloud ComputingData ScienceMicrosoft
Concepts
0. Introduction
- 01 - How does the DP-900 certification help me
- 02 - The DP-900 certification and exam
1. Understanding Core Data Concepts
- 03 - Core data concepts
- 04 - Data processing concepts
- 05 - Data analytics categories
- 06 - Additional resources for core data concepts
2. Working with Relational Data in Azure
- 07 - Relational data concepts
- 08 - On-premises hosting, IaaS, PaaS, and SaaS
- 09 - Relational database offerings in Azure
- 10 - Querying relational data
- 11 - Relational data management tasks
- 12 - Working with relational databases in Azure
- 13 - Relational databases - Additional resources
3. Working with Non-Relational Data in Azure
- 14 - Non-relational data
- 15 - Non-relational database offerings in Azure
- 16 - CosmosDB
- 17 - Azure Storage
- 18 - Working with non-relational databases in Azure
- 19 - Non-relational databases - Additional resources
4. Modern Data Warehousing in Azure
- 20 - Understanding analytics workloads
- 21 - Overview of modern data warehousing
- 22 - Understanding data ingestion components
- 23 - Understanding data analytics tools
- 24 - Introduction to Power BI
- 25 - Demo - Data warehousing on Microsoft Azure
- 26 - Modern data warehousing - Additional resources