UNF Professional and Lifelong Learning
UNF Professional and Lifelong Learning · Microsoft

Microsoft Azure Data Fundamentals (DP-900) Training

LevelBeginner
Duration1 Day
Experience1 year: Microsoft Azure
Average Salary$91,000
LabsYes

Offered to the Jacksonville and Northeast Florida community through UNF Professional and Lifelong Learning in partnership with Applied Technology Academy — live online or in person, taught by ATA's practitioner instructors.

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.