Introduction to Microsoft Azure Data (DP-900)

Microsoft Azure Data Fundamentals and Cloud Training (DP-900)

Introduction to Microsoft Azure Data (DP-900) Course Objectives

• Describe core data concepts in Azure
• Explain concepts of relational data in Azure
• Explain concepts of non-relational data in Azure
• Identify components of a modern data warehouse in Azure

Prerequisites

Before joining this course, you should have:

• Basic knowledge of computers and the internet.
• An interest in cloud data services and database concepts.
• Eagerness to engage in hands-on exploration of cloud data services.
• Understanding of basic programming principles (advantageous, but not required).
• Basic math skills for data interpretation.

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.

Microsoft Azure Data Fundamentals (DP-900) Course Outline

Explore Core Data Concepts

Students will 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. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.

• Explore core data concepts
• Explore data roles and services

After completing this Learning Path, students will be able to:

• • Show foundational knowledge of cloud data services within Azure
  • Identify and describe core data concepts such as relational, non-relational, big data, and analytics
  • Explain how this technology is implemented with Azure

Explore Relational Data in Azure

Students will 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. Students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.

• Explore fundamental relational concepts
• Explore relational database services in Azure

After completing this Learning Path, students will be able to:

• • Describe relational data offerings on Azure
  • Explain provisioning and deploying relational databases on Azure
  • Query relational data through cloud data solutions in Azure

Explore Non-Relational Data in Azure

Students will 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 Azure. Students will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.

• Explore Azure Storage for non-relational data
• Explore fundamentals of Azure Cosmo DB

After completing this Learning Path, students will be able to:

• • Describe non-relational data offerings on Azure
  • Explain provisioning and deploying non-relational databases on Azure
  • Describe non-relational data stores on Azure

Explore Modern Data Warehouse Analytics in Azure

Students will 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 Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

• Explore fundamentals of large-scale data warehouse
• Explore fundamentals of real-time analytics
• Explore fundamentals of data visualization

After completing this Learning Path, students will be able to:

• • Describe processing options available for building data analytics solutions in Azure
  • Describe Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
  • Explain what Microsoft Power BI is, including its building blocks and how they work together