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.
Who Should Attend?
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.
About this course
Course Outline
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Describe core data concepts (25–30%)
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Identify considerations for relational data on Azure (20–25%)
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Describe considerations for working with non-relational data on Azure (15–20%)
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Describe an analytics workload on Azure (25–30%)
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Describe features of structured data
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Describe features of semi-structured
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Describe features of unstructured data
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Describe common formats for data files
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Describe types of databases
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Describe features of transactional workloads
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Describe features of analytical workloads
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Describe responsibilities for database administrators
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Describe responsibilities for data engineers
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Describe responsibilities for data analysts
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Identify features of relational data
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Describe normalization and why it is used
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Identify common structured query language (SQL) statements
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Identify common database objects
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Describe the Azure SQL family of products including Azure SQL Database, Azure SQL
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Managed Instance, and SQL Server on Azure Virtual Machines
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Identify Azure database services for open-source database systems
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Describe Azure Blob storage
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Describe Azure File storage
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Describe Azure Table storage
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Identify use cases for Azure Cosmos DB
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Describe Azure Cosmos DB APIs
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Describe considerations for data ingestion and processing
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Describe options for analytical data stores
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Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory
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Describe the difference between batch and streaming data
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Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark structured streaming
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Identify capabilities of Power BI
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Describe features of data models in Power BI
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Identify appropriate visualizations for data
Prerequisites
rerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.
Specifically:
- Experience using a web browser
- 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.
Where
This will be a virtual event hosted on Microsoft Teams. In the Microsoft Teams platform and sessions, your name, email address, or title may be viewable by other participants. By joining this event, you agree to this experience.