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Microsoft Azure Data Fundamentals

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Course 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. 

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. 

Target Audience

  •  Data Analyst 
  • Cloud Data Administrators 
  • Data Engineer 
  • BI Developer 
  • Cloud Solution Architect 
  • Data Scientist

Course 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 

 Duration 


1 Day

Certifications 


DP-900


Course Outline

1 – Explore core data concepts

Identify data formats

Explore file storage

Explore databases

Explore transactional data processing

Explore analytical data processing

2 – Explore data roles and services

Explore job roles in the world of data

Identify data services

3 – Explore fundamental relational data concepts

Understand relational data

Understand normalization

Explore SQL

Describe database objects

4 – Explore relational database services in Azure

Describe Azure SQL services and capabilities

Describe Azure services for open-source databases

5 – Explore Azure Storage for non-relational data

Explore Azure blob storage

Explore Azure DataLake Storage Gen2

Explore Azure Files

Explore Azure Tables

6 – Explore fundamentals of Azure Cosmos DB

Describe Azure Cosmos DB

Identify Azure Cosmos DB APIs

7 – Explore fundamentals of large-scale data warehousing

Describe data warehousing architecture

Explore data ingestion pipelines

Explore analytical data stores

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

9 – Explore fundamentals of data visualization

Describe Power BI tools and workflow

Describe core concepts of data modeling

Describe considerations for data visualization


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