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Microsoft Azure Database and Cloud Concepts Data Science, Database Administrator, Database Developer Fundamentals DP-900

In this 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.

You will Learn:

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

Azure Database and Cloud Concepts Data Science, Database Administrator, Database Developer Fundamentals DP-900 – Course Overview 

In this 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 also 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.

Roles, tasks, and responsibilities in the world of data will also be explored, including relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will also explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.  Students will also learn about the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight and will know what Power BI is, including its building blocks and how they work together.

Is this the Right Course for You?

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.

Good to know before class:

Understading of Azure Data Fundamentals and basic awareness of computing and Internet concepts, and an interest in extracting insights from data.

Specifically:

  • Experience using a web browser, such as Microsoft Edge.
  • Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.
  • Lastly, willingness to learn through hands-on exploration.

Azure Database and Cloud Concepts Data Science, Database Administrator, Database Developer Fundamentals DP-900 – Course outline

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

After completing this module, 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

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

After completing this module, students will be able to:

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

After completing this module, students will be able to:

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

After completing this module, 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

 

Related Courses:

DP-050 Migrating Application Workloads to Azure

DP-060 Migrate NoSQL workloads to Azure Cosmos DB

DP-070 Migrate Open Source Data Workloads to Azure

DP-080 Querying Data with Microsoft Transact-SQL

DP-090 Implementing a Machine Learning Solution with Microsoft Azure Databricks

DP-100 Designing and Implementing a Data Science solution on Azure

DP-203 Data Engineering on Microsoft Azure

DP-300 Administering Relational Databases on Microsoft Azure

DP-420 Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB

 

Related Certifications:

Microsoft Certified: Azure Database Administrator Associate

Learning Paths

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Price:

$2,595.00

Duration:
1 days

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