Microsoft Azure Data Fundamentals DP900

In this course, learners will gain an in-depth knowledge of basic data concepts and related Microsoft Azure data services. They learn basic data concepts such as relational, non-relational, big data and analytics and develop their basic knowledge of Microsoft Azure cloud data services. Learners will learn basic concepts of relational data and relational database services in Azure. They explore Azure Storage for non-relational data and the basics of Azure Cosmos DB. Learners learn large-scale data storage, real-time analysis and data visualization.

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Microsoft Azure Data Fundamentals DP900 Course Overview

In this course, learners will gain an in-depth knowledge of basic data concepts and related Microsoft Azure data services. They learn basic data concepts such as relational, non-relational, big data and analytics and develop their basic knowledge of Microsoft Azure cloud data services. Learners will learn basic concepts of relational data and relational database services in Azure. They explore Azure Storage for non-relational data and the basics of Azure Cosmos DB. Learners learn large-scale data storage, real-time analysis and data visualization.

Course Objectives

  • Describe core data concepts.
  • Identify aspects of relational data in Azure
  • Describe considerations for handling non-relational data in Azure
  • Describe Azure Analytics workloads.

Students will successfully

  • Gain knowledge of processing options available for building data analytics solutions in AZ
  • Understand core data concepts such as relational, non-relational, big data, and analytics.
  • Become familiar with Microsoft Azure’s roles and responsibilities in the world of data

Who should attend this Microsoft Azure Data Fundamentals DP900 Course?

The Microsoft Azure Data Fundamentals DP900 course is designed for:

  • Beginners: Non-technical people who want to understand data concepts and their applications with Microsoft Azure data services.
  • IT Professionals: People who want to strengthen their basic knowledge of basic data concepts and how to use data services in Azure.
  • Business Decision Makers: Professionals interested in how data in Azure can be used for business intelligence and decision-making.
  • Data professionals: Including data analysts, data scientists, and database administrators who want to brush up on their fundamentals or prepare for the Microsoft Certified: Azure Data Fundamentals exam.

Prerequisites of the Microsoft Azure Data Fundamentals DP900 Course

No prior certification is required for this course.
Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts and are interested in deriving insights from data.

Specially

  • Experience using a web browser such as Microsoft Edge.
  • Knowledge of basic data concepts such as handling tables of data in a spreadsheet and visualizing data using charts.
  • Willingness to learn through hands-on research.

What's Included in this Microsoft Azure Data Fundamentals DP900 Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • World-class training from an Experienced Instructor

Exam Information

We anticipate the data to become available again soon. In the meantime, please consider the following options:

Check back with us periodically for updates on data availability.
If you require immediate assistance or have specific questions, don’t hesitate to reach out to our dedicated customer support team.

Ways to take this course

We anticipate the data to become available again soon. In the meantime, please consider the following options:

Check back with us periodically for updates on data availability.
If you require immediate assistance or have specific questions, don’t hesitate to reach out to our dedicated customer support team

Course Syllabus

Our course aims to provide you with a solid understanding of the core concepts, terminologies, and functionalities related to data services in Microsoft Azure. Through a carefully designed curriculum, hands-on exercises, and practical examples, you will gain in-depth knowledge in the following key areas:

Explore core data concepts
Students will learn about core data concepts such as common data formats, workloads, and roles, and build their foundational knowledge of cloud data services within Microsoft Azure.

  1. Core data concepts
  2. Data Roles and Services

On completing this lesson, you will have learned to:

  • Identify common data formats
  • Describe options for storing data in files
  • Describe options for storing data in databases
  • Describe the characteristics of transactional data processing solutions
  • Describe the characteristics of analytical data processing solutions
  • Identify common data professional roles
  • Identify common cloud services used by data professionals
  • Explore fundamentals of relational data in Azure

Students will explore fundamental relational data concepts and relational database services in Azure.

  1. Explore relational data offerings in Azure
  2. Explore Azure services for relational data

On completing this lesson, you will have learned to:

  • Identify characteristics of relational data
  • Define normalization
  • Identify types of SQL statement
  • Identify common relational database objects
  • Identify options for Azure SQL services
  • Identify options for open-source databases in Azure
  • Provision a database service on Azure
  • Explore fundamentals of non-relational data in Azure

Students will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB.

  1. Fundamentals of Azure Storage
  2. Fundamentals of Azure Cosmos DB

On completing this lesson, you will have learned to:

  • Describe features and capabilities of Azure blob storage
  • Describe features and capabilities of Azure Data Lake Gen2
  • Describe features and capabilities of Azure file storage
  • Describe features and capabilities of Azure table storage
  • Provision and use an Azure Storage account
  • Describe key features and capabilities of Azure Cosmos DB
  • Identify the APIs supported in Azure Cosmos DB
  • Provision and use an Azure Cosmos DB instance
  • Explore fundamentals of data analytics

Students will learn about large-scale data warehousing, real-time analytics, and data visualization.

  1. Large-scale data warehousing
  2. Streaming and real-time analytics
  3. Data visualization

On completing this lesson, you will have learned to:

  • Identify common elements of a large-scale data warehousing solution
  • Describe key features for data ingestion pipelines
  • Identify common types of analytical data store and related Azure services
  • Provision Azure Synapse Analytics and use it to ingest, process, and query data
  • Compare batch and stream processing
  • Describe common elements of streaming data solutions
  • Describe features and capabilities of Azure Stream Analytics
  • Describe features and capabilities of Spark Structured Streaming on Azure
  • Describe features and capabilities of Azure Synapse Data Explorer
  • Describe a high-level process for creating reporting solutions with Microsoft Power BI
  • Describe core principles of analytical data modeling
  • Identify common types of data visualization and their uses
  • Create an interactive report with Power BI Desktop

FAQs

This Microsoft Azure Data Fundamentals course is suitable for all individuals, who are willing to learn about the fundamentals of database concepts in a cloud environment, want to get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Azure can be learned without knowledge of any programming. Even though if you want to deploy an application in Azure, you may need to write a few configuration codes or a deployment script.

With the certification of Microsoft Azure Data Fundamentals certification, you may be eligible for several diverse roles in the technology field, such as Solution Architect, Developer, and Cloud Architect.