Microsoft Azure Data Fundamentals DP-900

Microsoft Azure Data Fundamentals DP-900

Course overview

In this 1-day 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.

Who should attend

The audience for this Microsoft Azure Data Fundamentals training 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.

Job role:

• Database Administrator
• Data Analyst
• Data Engineer
• Developer, Student

Skills gained

• 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

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. 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.
• A willingness to learn through hands-on exploration.

Exam DP-900: Microsoft Azure Data Fundamentals

Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

Language

The standard language of instruction during the course is English.

Courseware

Microsoft Official Courseware, English, Digital - Microsoft Azure Data Fundamentals DP-900

Do you have questions or want additional information?

Or do you want to know if this Microsoft Azure Data Fundamentals DP-900 training suits you? Please feel free to contact us via info@signon.nl or call us on 020 820 83 62.

Microsoft Certified Trainers

Our Microsoft Certified Trainers (MCT) are experts in their field and certified according to Microsoft's terms and conditions. In addition to providing training, they also work in projects and know daily practice like no other. As a result, they know what students have to deal with and can encounter daily. They use their practical experience to enrich the theory in the classroom.  

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 data ingestion in Azure
• Explore data storage and processing in Azure
• 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

Delivery formats

Choose a delivery format that suits you best. The following delivery formats are available for this course:

• Virtual classroom

  Attend a the virtual classroom course from any location (workplace or home). You learn from a live instructor and are in contact with other participants. The instructor has the possibility to look at your screen (if necessary) to answer all your questions. This training will take place via Microsoft Teams (free of use).

• Classroom live

  A face-to-face training on a location in the Netherlands. Employees from different companies are present during this classroom training. Fully catered for, including an extensive lunch.

• In-company course

  Our in-company training is tailored to your company. The specialized trainer only deals with what is important for your company and work situation. That makes our tailor-made training very effective. We provide these training courses in Dutch, English and German. The choice for an in-company training provides an attractive discount. Depending on the number of participants, the discount can be as much as 50% compared to participation in an open training. More information or request a quote.