DP-900: Microsoft Azure Data Fundamentals

Gain foundational knowledge of core data concepts, relational and non-relational data, and analytics workloads within Microsoft Azure's data services.

DP-900: Microsoft Azure Data Fundamentals Certification & Training

Emigo Networks offers expert-led training for the DP-900: Microsoft Azure Data Fundamentals course, designed to build your foundational knowledge of core data concepts and Azure data services. This course helps learners understand relational and non-relational data, analytics workloads, and the roles and responsibilities in data solutions. Whether you are new to cloud data or planning to pursue a career in data engineering, this course is a perfect starting point.

Course Overview

The DP-900: Microsoft Azure Data Fundamentals course provides foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. It introduces learners to relational and non-relational data, modern data warehousing, and data analytics. Through this course, participants gain insight into roles such as data engineers and data analysts, and learn to work with data in the cloud. The course is ideal for those looking to begin a career in Azure-based data solutions or prepare for further certification.

What You'll Learn

Core data principles such as relational, non-relational, and big data.
Fundamental concepts of relational data in Azure (e.g., Azure SQL Database).
Basics of non-relational data using services like Azure Cosmos DB.
Modern data warehousing and analytics using Azure Synapse Analytics and Power BI.
Foundational knowledge for exploring data roles such as data engineer, data scientist, and data analyst.

Thank You for Choosing EMIGO

Syllabus Summary

Describe core data concepts (25–30%)

a. Describe ways to represent data

Describe features of structured data
Describe features of semi-structured
Describe features of unstructured data

b. Identify options for data storage

Describe common formats for data files
Describe types of databases

c. Describe common data workloads

Describe features of transactional workloads
Describe features of analytical workloads

d. Identify roles and responsibilities for data workloads

Describe responsibilities for database administrators
Describe responsibilities for data engineers
Describe responsibilities for data analysts

Identify considerations for relational data on Azure (20–25%)

a. Describe relational concepts

Identify features of relational data
Describe normalization and why it is used
Identify common structured query language (SQL) statements
Identify common database objects

b. Describe relational Azure data services

Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines
Identify Azure database services for open-source database systems

Describe considerations for working with non-relational data on Azure (15–20%)

a. Describe capabilities of Azure storage

Describe Azure Blob storage
Describe Azure File storage
Describe Azure Table storage

b. Describe capabilities and features of Azure Cosmos DB

Identify use cases for Azure Cosmos DB
Describe Azure Cosmos DB APIs

Describe an analytics workload (25–30%)

a. Describe common elements of large-scale analytics

Describe considerations for data ingestion and processing
Describe options for analytical data stores
Describe Microsoft cloud services for large-scale analytics, including Azure Databricks and Microsoft Fabric

b. Describe consideration for real-time data analytics

Describe the difference between batch and streaming data
Identify Microsoft cloud services for real-time analytics

c. Describe data visualization in Microsoft Power BI

Identify capabilities of Power BI
Describe features of data models in Power BI
Identify appropriate visualizations for data

Pre-requisites

No prior technical experience is required; this is an entry-level certification.
Basic familiarity with core data concepts such as tables, rows, and columns is helpful.
An interest in learning about cloud-based data solutions using Microsoft Azure.
Optional but beneficial: General understanding of Microsoft Azure fundamentals or cloud computing concepts.

Required Exams

Exam Codes: DP-900: Microsoft Azure Data Fundamentals
Length: 45 minutes
Registration fee: $99 USD (+taxes applicable)

Who Should Attend

Individuals new to the cloud and data concepts who want to build foundational knowledge in Microsoft Azure Data services.
Business decision-makers, students, and IT professionals exploring a career in data-related roles.
Professionals aiming to validate their understanding of core data services and gain insights into Azure-based data solutions.
Those preparing to pursue role-based Azure certifications such as Azure Data Engineer or Azure Database Administrator.

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What is the focus of the DP-900 certification?

DP-900 validates foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

What are the main topics covered in Emigo’s DP-900 training?

The course covers relational and non-relational data, analytics workloads, data storage options, and Azure-based data solutions.

Who should attend this certification training?

This course is ideal for beginners, students, and professionals looking to start a career in data or Azure technologies.

What is the exam fee for the DP-900 certification?

The Microsoft DP-900 exam fee is approximately USD 99, subject to applicable taxes and local conversion rates.

Is online training available for DP-900 with Emigo?

Yes, Emigo offers live virtual training sessions with real-time interaction and expert-led instruction.

Does Emigo offer onsite training in Kochi for DP-900?

Yes, Emigo provides classroom-based training at their Kochi location for hands-on learning experiences.

Is this course suitable for corporate team training?

Absolutely. Emigo delivers customized corporate training for teams looking to build Azure data skills within their organizations.

Can individuals opt for personalized or one-on-one sessions?

Yes, Emigo provides flexible, tailored learning plans for professionals or individuals seeking a customized training approach.

What is the duration of the DP-900 training program?

The training typically spans 2 to 3 days, depending on the mode of delivery and learning pace.

Are there any prerequisites for taking the DP-900 course?

No formal prerequisites are required. However, basic familiarity with data concepts or cloud technologies is helpful.

Does the training include practical exercises?

Yes, Emigo incorporates practical labs and real-world use cases using Azure data services for effective learning.

How can I register for the DP-900 training in Kochi?

You can enroll by contacting Emigo Networks through their official website, phone, or by visiting their Kochi center directly.

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