Training: Introduction to Microsoft Azure Data (DP-900)

Ref. DP-900T00

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Duration:

jour

Exam:

Optionnel

Level:

Fondamental

Funding:

Eligible

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Introduction to Microsoft Azure Data Training (DP-900)

You want to understand core data concepts and how they apply to Microsoft Azure but lack a structured learning path? Data literacy is becoming essential for all IT professionals, regardless of their specialization. Without foundational knowledge of relational databases, NoSQL, analytics and data processing, navigating the modern data landscape becomes difficult.

This official Microsoft DP-900 training gives you in 1 day a solid understanding of core data concepts and Azure data services. Guided by MCT-certified trainers, you explore relational and non-relational data, analytics workloads and data processing on Azure. You discover Azure SQL, Azure Cosmos DB, Azure Synapse Analytics, Azure HDInsight and Azure Databricks. This training prepares you for the Azure Data Fundamentals certification, the ideal entry point before advancing to specialized data certifications. Sessions are available in person in Geneva and Lausanne or via virtual classroom.

Participant Profiles

Professionnels IT souhaitant évoluer vers les données cloud
Développeurs cherchant à comprendre les services Azure
Analystes de données débutant avec le cloud
Chefs de projet impliqués dans des solutions data
Consultants accompagnant la transformation digitale
Étudiants en informatique et gestion des données

Objectives

Describe core data concepts including relational, non-relational and analytical data
Identify Azure services for relational data workloads
Identify Azure services for non-relational and NoSQL workloads
Describe analytics workloads and Azure data services for analytics
Understand data processing concepts: batch and streaming
Explore Azure Synapse Analytics, Azure Databricks and Azure HDInsight

Prerequisites

Basic computer skills and web navigation
General understanding of data and file concepts
Curiosity about cloud technologies and the Microsoft ecosystem

Course Content

Module 1: Explore core data concepts

Identify data formats
Explore file storage
Explore databases
Explore transactional data processing
Explore analytical data processing

Module 2: Explore data roles and services

Explore job roles in the world of data
Identify data services

Module 3: Explore fundamental relational data concepts

Understand relational data
Understand normalization
Explore SQL
Describe database objects

Module 4: Explore relational database services in Azure

Describe Azure SQL services and capabilities
Describe Azure services for open-source databases

Module 5: Explore Azure Storage for non-relational data

Explore Azure blob storage
Explore Azure Data Lake Storage Gen2
Explore Microsoft OneLake in Fabric
Explore Azure Files
Explore Azure Tables

Module 6: Explore fundamentals of Azure Cosmos DB

Describe Azure Cosmos DB
Identify Azure Cosmos DB APIs

Module 7: Explore fundamentals of large-scale analytics

Describe data warehousing architecture
Explore data ingestion pipelines
Explore analytical data stores

Module 8: Explore fundamentals of real-time analytics

Understand batch and stream processing
Explore common elements of stream processing architecture
Explore Microsoft Fabric Real-Time Intelligence
Explore Apache Spark structured streaming

Module 9: Explore fundamentals of data visualization

Describe Power BI tools and workflow
Describe core concepts of data modeling
Describe considerations for data visualization

Documentation

Access to Microsoft Learn, Microsoft’s online learning platform, offering interactive resources and educational content to deepen your knowledge and develop your technical skills.

Lab / Exercises

This course provides you with exclusive access to the official Microsoft lab, enabling you to practice your skills in a professional environment.

Exam

This course prepares you to the DP-900: Azure Data Fundamentals exam.

Complementary Courses

Eligible Funding

ITTA is a partner of a continuing education fund dedicated to temporary workers. This fund can subsidize your training, provided that you are subject to the “Service Provision” collective labor agreement (CCT) and meet certain conditions, including having worked at least 88 hours in the past 12 months.

Additional Information

Azure data fundamentals: your entry point into the Microsoft data ecosystem

The modern data landscape encompasses relational databases, NoSQL stores, data warehouses, data lakes and real-time streaming. Understanding how these technologies fit together is essential for any IT professional, whether you specialize in data engineering, analysis, development or administration. The DP-900 training provides a comprehensive overview of core data concepts and how Microsoft Azure implements them. It is the ideal starting point before specializing with certifications like DP-300, DP-600 or DP-100.

What you learn during this 1-day training

The program covers four key domains following the official Microsoft curriculum. You explore core data concepts including relational and non-relational data, batch and streaming processing, and data roles and services. You then discover Azure relational data services (Azure SQL, MySQL, PostgreSQL), non-relational services (Cosmos DB, Blob Storage, Table Storage) and analytics services (Synapse Analytics, Databricks, HDInsight, Power BI). Each topic includes demonstrations and practical examples to ground theoretical concepts in real-world scenarios.

Frequently Asked Questions

What are the prerequisites for this DP-900 training?

No technical prerequisites are required. This training is designed for beginners seeking to understand fundamental data concepts and Azure data services. Basic IT knowledge is sufficient.

Which certification does this training prepare for?

This training prepares you for the DP-900 exam leading to the Microsoft Azure Data Fundamentals certification, validating your understanding of core data concepts and Azure data services.

What is the recommended next step after DP-900?

It depends on your career path. For database administration, pursue DP-300. For analytics engineering, consider DP-600. For data science, look at DP-100. For NoSQL development, explore DP-420.