Microsoft Azure Data Fundamentals (DP-900) Training
In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization.
Azure Data Fundamentals (DP-900)
Course Overview
- Describe core data concepts
- Identify considerations for relational data on Azure
- Describe considerations for working with non-relational data on Azure
- Describe an analytics workload on Azure
Course Outline
- Lesson 1: Explore core data concepts
- Identify data formats
- Explore file storage
- Explore databases
- Explore transactional data processing
- Explore analytical data processing
- Lesson 2: Explore data roles and services
- Explore job roles in the world of data
- Identify data services
- Lesson 3: Explore fundamental relational data concepts
- Understand relational data
- Understand normalization
- Explore SQL
- Describe database objects
- Lesson 4: Explore relational database services in Azure
- Describe Azure SQL services and capabilities
- Describe Azure services for open-source databases
- Lesson 5: Explore Azure Storage for non-relational data
- Explore Azure blob storage
- Explore Azure DataLake Storage Gen2
- Explore Azure Files
- Explore Azure Tables
- Lesson 6: Explore fundamentals of Azure Cosmos DB
- Describe Azure Cosmos DB
- Identify Azure Cosmos DB APIs
- Lesson 7: Explore fundamentals of large-scale data warehousing
- Describe data warehousing architecture
- Explore data ingestion pipelines
- Explore analytical data stores
- Lesson 8: Explore fundamentals of real-time analytics
- Understand batch and stream processing
- Explore common elements of stream processing architecture
- Explore Azure Stream Analytics
- Explore Apache Spark on Microsoft Azure
- Lesson 9: Explore fundamentals of data visualization
- Describe Power BI tools and workflow
- Describe core concepts of data modeling
- Describe considerations for data visualization
Intended Audience
The audience for this course is individuals 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.
Prerequisites
There are no prerequisites for this course.
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Justify your training
Use this sample request letter — copy it into an email to your manager and personalize the bracketed details to make the case for the time and budget.
Sample training request letter
Subject: Request for Data Analytics & Databases training from Applied Technology Academy
[Decision Maker Name],
I'm writing to request time and budget approval to complete Applied Technology Academy's course, Microsoft Azure Data Fundamentals (DP-900) Training. The information below outlines how this training benefits our organization, the tasks I'll be able to perform after completing it, and relevant cost and funding details.
Course Description
In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. Applied Technology Academy is an award-winning, SBA-certified woman-owned training provider (est. 2008) whose instructors are active practitioners; the course is hands-on with virtual labs and a learn-by-doing methodology.
Course Objectives
Once I've completed the course, I'll have hands-on, job-ready skills in data analytics & databases that I can apply immediately to our work.
Expected Organizational Benefits
After completing this course, I will be better equipped to apply these skills directly to our projects, reduce our reliance on outside expertise, strengthen our team's capabilities, and share what I learn with colleagues.
Expected Cost & Funding
Course fee: [request an itemized quote at the link below]. Applied Technology Academy supports multiple funding paths that may reduce or cover this cost: GSA MAS purchasing and government purchase orders, military credentialing funding (Army CA, AF COOL, CG COOL), VA GI Bill and VR&E, ATA Flexible Spending, and student financing. Private team cohorts are available if colleagues should attend with me.
Conclusion
This training provides practical, hands-on experience I can apply immediately to strengthen our work in data analytics & databases. Additional course information is available at https://appliedtechnologyacademy.com/microsoft-training/microsoft-azure-data-fundamentals-dp-900/.
Thank you for your consideration,
[Your Name]
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