Microsoft Azure Data Fundamentals | DP-900


Microsoft Azure is a set of cloud computing services that constantly continues to grow. Azure helps your organization solve all kinds of business challenges. With Azure, your organization has the freedom to use your favourite tools and frameworks to develop, manage, and implement applications on a large, global network.

During the course Microsoft Azure Data Fundamentals | DP-900 you will learn the fundamentals of database concepts in a cloud environment. Moreover, you get basic skilling in cloud data services and build your foundational knowledge of cloud data services within Microsoft Azure.

In this course, you 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. You will explore the roles, tasks, and responsibilities in the world of data.

Then you will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. You will also explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. You will explore the processing options available for building data analytics solutions in Azure. You 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 course, students will be able to:

  • 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.

Lunches and course materials are included. Exam fees are not included.

Deze cursus wordt in het Nederlands gegeven.

Doelgroep

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.

Voorkennis

Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and internet concepts, and an interest in extracting insights from data. You should have familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.

Duur

The course lasts one day.

Groepsgrootte

The size of the group is a maximum of twelve candidates.

Certificaat

After the course you can participate in the exam. The course helps to prepare for exam DP-900. The exam fees are not included.

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 of Module 1

  • 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 module 1 , 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 of Module 2

  • explore relational data offerings in Azure;
  • explore provisioning and deploying relational database offerings in Azure;
  • query relational data in Azure.

After completing module 2, 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.

Lessons of Module 3

  • explore non-relational data offerings in Azure;
  • explore provisioning and deploying non-relational data services on Azure;
  • manage non-relational data stores in Azure.

After completing module 3, 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.

Lessons of Module 4

  • examine components of a modern data warehouse;
  • explore data ingestion in Azure;
  • explore data storage and processing in Azure;
  • get started building with Power BI.

After completing module 4, 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.
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