DP-900T00 Microsoft Azure Data Fundamentals Course

Microsoft Azure Data Fundamentals

To master data in the cloud, you need the right foundation—a solid understanding of core data concepts, such as relational data, nonrelational data, big data, and analytics.

Build your technical skills to start working with data in the cloud.

Learn the concepts of relational and nonrelational data and with different types of data workloads, such as transactional or analytical.

Course Overivew

  • In this DP-900T00: Microsoft Azure Data Fundamentals course, 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 Microsoft Azure.
  • They will explore the roles, tasks, and responsibilities in the world of data.
  • The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure.
  • They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.
  • Students will explore the processing options available for building data analytics solutions in Azure.
  • They 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.
  • Validate your foundational knowledge of core data concepts and how they’re implemented using Azure data services.
  • Reinforce your basics for other Azure role-based certifications, like Azure Database Administrator Associate, Azure Data Engineer Associate, Data Analyst Associate, or Azure Developer Associate, but it’s not a prerequisite for any of them.
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Course Benefits:

Module 1: 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.

Lessons

  • Explore core data concepts
  • Explore roles and responsiblities in the world of data
  • Describe concepts of relational data
  • Explore concepts of non-relational data
  • Explore concepts of data analytics

 

Module 2: 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.

Lessons

  • Explore relational data services in Azure
  • Explore provisioning and deploying relational database services in Azure
  • Query relational data in Azure

 

Module 3: 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 services, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.

Lessons

  • Explore non-relational data services in Azure
  • Explore provisioning and deploying non-relational data services on Azure
  • Manage non-relational data stores in Azure

 

Module 4: 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.

Lessons

  • Examine components of a modern data warehouse
  • Explore large-scale data analytics
  • Get started building with Power BI

 

  • 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
  • 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
  • Describe relational data services on Azure
  • Explain provisioning and deploying relational databases on Azure
  • Query relational data through cloud data solutions in Azure
  • Describe non-relational data services on Azure
  • Explain provisioning and deploying non-relational databases on Azure
  • Decribe non-relational data stores on Azure
  • 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
  • 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.
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Prerequisites

This course is available at :

Classroom Training

Cairo
Giza
Onsite

Online Training

Virtual Interactive Instructor LED
Self-Paced Training

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