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DP-900T00 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.

Course Length: 1 day

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 the Microsoft Azure Data Fundamentals (DP-900) course. However, candidates should have some basic knowledge of computing and the internet, and an interest in data analysis. They should also be familiar with data-related concepts, such as working with spreadsheets and charts.

What You're Going To Learn

 

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.

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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 analytics

  • Describe data warehousing architecture
  • Explore data ingestion pipelines
  • Explore analytical data stores
  • Explore platform-as-a-service (PaaS) solutions
  • Explore Microsoft Fabric

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
  • Explore Realtime Analytics in Microsoft Fabric

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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