DP-900 Microsoft Azure Data Fundamentals Training

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Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

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DP-900 Microsoft Azure Data Fundamentals Training Course Overview

We, as a Silver Training Partner of Microsoft, are offering online training on Microsoft Azure Data Fundamentals (DP-900). This course is designed by certified trainers to give basic skills in cloud data services and overall knowledge of the fundamentals of database concepts in a cloud environment. After you have completed the DP-900 course at Multisoft Systems, you will be able to explore the roles, tasks, and responsibilities in the world of data. You will also become a master of exploring relational data offerings and dealing with the roles, tasks, and responsibilities in the world of data.

To pursue this Microsoft Azure Data Fundamentals (DP-900) Training, no prerequisite certification is not required. You just need to have an upper hand in browsing, basic knowledge of computing and internet concepts, data visualization with the use of charts, and a burning desire of extracting insights from data. At Multisoft, subject matter experts will help you in exploring relational data offerings, non-relational data offerings, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.

Microsoft Azure Data Fundamentals Course Objectives:
  • How to describe core data concepts in Azure?
  • How to explain concepts of non-relational data in Azure?
  • How to identify components of a modern data warehouse in Azure?
  • How to explain concepts of relational data in Azure?
DP-900 Online Training
  • Recorded Videos After Training
  • Digital Learning Material
  • Course Completion Certificate
  • 24x7 After Training Support
Microsoft Azure Data Fundamentals Course Target Audience
  • Individuals who are keen in learning 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 are eligible for Microsoft Azure Data Fundamentals (DP-900) Online Training.
Microsoft Azure Data Fundamentals Course Prerequisites
  • You don’t need to carry any no prerequisite certification for pursuing this Microsoft Azure Data Fundamentals (DP-900) Training. It requires basic knowledge of computing and internet concepts, an upper hand in browsing, data visualization with the use of charts, and a burning desire of extracting insights from data.
Microsoft Azure Data Fundamentals Course Objectives Certification
  • Multisoft Systems will provide you with a training completion certificate after completing this DP-900 .

DP-900 Microsoft Azure Data Fundamentals Training Course Content

Module 1: Explore core data concepts

  • Explore core data concepts
  • Explore roles and responsibilities in the world of data
  • Describe concepts of relational data
  • Explore concepts of non-relational data
  • Explore concepts of data analytics

Module 2: Explore relational data in Azure

  • Explore relational data offerings in Azure
  • Explore provisioning and deploying relational database offerings in Azure
  • Query relational data in Azure

Module 3: Explore non-relational data in Azure

  • Explore non-relational data offerings in Azure
  • Explore provisioning and deploying non-relational data services in Azure
  • Manage non-relational data stores in Azure

Module 4: Explore modern data warehouse analytics

  • 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

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Free DP-900 Training Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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  • Name and Digital Signature of the Awardee
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