DP-900: Microsoft Azure Data Fundamentals
Duration: 1 Day
Overview
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.
Audience Profile
The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skills in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.
Learning Objectives
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
Job role: Data Engineer
Preparation for exam: DP-900
Course Outline
1. Explore core data concepts
Identify common data formats
Describe options for storing data in files
Describe options for storing data in databases
Describe the characteristics of transactional data processing solutions
Describe the characteristics of analytical data processing solutions
2. Explore data roles and services
Identify common data professional roles
Identify common cloud services used by data professionals
3. Explore fundamental relational data concepts
Identify characteristics of relational data
Define normalization
Identify types of SQL statement
Identify common relational database objects
4. Explore relational database services in Azure
Identify options for Azure SQL services
Identify options for open-source databases in Azure
Provision a database service on Azure
Labs:
Explore Azure relational database services
5. Explore Azure Storage for non-relational data
Describe features and capabilities of Azure blob storage
Describe the features and capabilities of Azure Data Lake Gen2
Describe the features and capabilities of Azure file storage
Describe features and capabilities of Azure table storage
Provision and use an Azure Storage account
Labs:
Explore Azure Storage
6. Explore fundamentals of Azure Cosmos DB
Describe key features and capabilities of Azure Cosmos DB
Identify the APIs supported in Azure Cosmos DB
Provision and use an Azure Cosmos DB instance
Labs:
Explore Azure Cosmos DB
7. Explore fundamentals of large-scale data warehousing
Identify common elements of a modern data warehousing solution
Describe key features for data ingestion pipelines
Identify common types of analytical data stores and related Azure services
Provision Azure Synapse Analytics and use it to ingest, process, and query data
Labs:
Explore data analytics in Azure with Azure Synapse Analytics
8. Explore fundamentals of real-time analytics
Compare batch and stream processing
Describe common elements of streaming data solutions
Describe the features and capabilities of Azure Stream Analytics
Describe features and capabilities of Spark Structured Streaming on Azure
Describe the features and capabilities of Azure Synapse Data Explorer
Labs:
Explore Azure Stream Analytics
Labs:
Explore Spark Streaming in Azure Synapse Analytics
Labs:
Explore Azure Synapse Data Explorer
9. Explore fundamentals of data visualization
Describe a high-level process for creating reporting solutions with Microsoft Power BI
Describe the core principles of analytical data modeling
Identify common types of data visualization and their uses
Create an interactive report with Power BI Desktop
Labs:
Explore fundamentals of data visualization with Power BI
Prerequisites
Required
Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.
A willingness to learn through hands-on exploration.