• DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) including exam voucher

  • Group Training

    Are you interested in the fundemental concepts related to Data, and Microsoft Azure services that can be used to create Data solutions? Then this training is for you!

    Training code
    CGADP900ME
    Spoken Language
    English
    Language Materials
    English
    Dayparts
    2
    Price
    €700,00
    excl. VAT No extra costs.

    Book DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) including exam voucher now

    This course will mostly take place in a group setting. We use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken Language on the left for language info.

    This course currently isn't planned. Please fill in your contact details below and we'll get in touch with you within two working days.

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    What is DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) including exam voucher

    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 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.
    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.
    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.
    After completing this module, 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

    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 offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.
    After completing this module, students will be able to:

    • Describe non-relational data offerings 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.
    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
     

    Who should attend the DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) including exam voucher

    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

    Familiarity with computers and using a web browser.

    Objectives

    After this course you'll 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
    • Describe relational data offerings on Azure
    • Explain provisioning and deploying relational databases on Azure
    • Query relational data through cloud data solutions in Azure
    • Describe non-relational data offerings 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
     
    Incompany

    Are you interested in the fundemental concepts related to Data, and Microsoft Azure services that can be used to create Data solutions? Then this training is for you!

    Training code
    CGADP900ME
    Spoken Language
    English
    Language Materials
    English
    Dayparts
    2
    Price
    €700,00
    excl. VAT No extra costs.

    With an Incompany training you have several advantages:

    - You choose the location
    - You experience the training with your colleagues, so it is always in line with your practice
    - The trainer can tailor explanations, examples and assignments to your organization
    - In consultation exercises can be adapted to organization-specific questions

    Request more information or a quote.

     

    What is DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) including exam voucher

    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 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.
    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.
    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.
    After completing this module, 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

    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 offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.
    After completing this module, students will be able to:

    • Describe non-relational data offerings 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.
    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
     

    Who should attend the DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) including exam voucher

    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

    Familiarity with computers and using a web browser.

    Objectives

    After this course you'll 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
    • Describe relational data offerings on Azure
    • Explain provisioning and deploying relational databases on Azure
    • Query relational data through cloud data solutions in Azure
    • Describe non-relational data offerings 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
     
  • Related

    Fields of Expertise
    Cloud