Azure Data Fundamentals (DP-900) Cert Prep: 4 Analytics Workloads on Azure
56mBeginner2022-08-08
Authors
Gregor Suttie
Azure Architect, Azure MVP, and Microsoft Certified Trainer
Course details
Is the Azure Data Fundamentals certification part of your plan to become a data engineer, database admin, or data scientist? In this course, instructor Gregor Suttie offers a thorough primer on analytics workloads on Azure. Gregor introduces you to the common elements of a modern data warehouse, then goes over the difference between batch and streaming data, as well as technologies for real-time analytics in Azure. He covers data visualization in Microsoft Power BI, including what you can do with Power BI, some main features of data models in Power BI, and appropriate visualizations for data. After showing you how to put what you have learned into practice with a Microsoft Power BI demo, he finishes up with advice on where to learn more. This course maps to the "Describe an analytics workload on Azure" objective for the DP-900 exam: Azure Data Fundamentals. It is also part of a study plan for those preparing to pass this foundational-level exam.
Skills covered
Power BIAzureData AnalysisNetwork AdministrationCloud PlatformsCert PrepNetwork and System AdministrationCloud ComputingData ScienceBusiness Analysis and StrategyBusiness Software and ToolsMicrosoft
Concepts
0. Introduction
- 01 - DP-900 exam - Analytics workloads
1. Common Elements of a Modern Data Warehouse
- 02 - Considerations for data ingestion and processing
- 03 - Options for analytical data stores
- 04 - Azure services for data warehousing
2. Consideration for Real-Time Data Analytics
- 05 - The difference between batch and streaming data
- 06 - Technologies for real-time analytics
3. Data Visualization in Microsoft Power BI
- 07 - Identify capabilities of Power BI
- 08 - Features of data models in Power BI
- 09 - Identify appropriate visualizations for data
- 10 - Microsoft Power BI demo
Conclusion
- 11 - Next steps