Edoxi’s DP-700 Microsoft Fabric Data Engineer course in Dubai is designed for experienced professionals who want to advance their careers in the Microsoft data ecosystem. This intermediate DP-700 Microsoft Fabric Data Engineer training is ideal for data engineers, BI developers, and cloud data specialists. You gain a strong understanding of Microsoft Fabric as a unified analytics platform used in modern enterprises.
During this DP-700 Microsoft Fabric Data Engineer certification course, you learn through hands-on training in Microsoft Azure. You work on real-world scenarios using Fabric workspaces and OneLake. You learn to build end-to-end data engineering solutions and manage deployment pipelines for cloud-based data environments. The training focuses on practical skills that you can apply directly at work.
By completing this DP-700 Microsoft Fabric Data Engineer training in Dubai, you gain the skills to design and implement enterprise-scale data solutions across industries. This DP-700 Microsoft Fabric Data Engineer certification course in Dubai is aligned with the official Microsoft DP-700 exam. This alignment helps you prepare with confidence and enhances your chances of success in both the certification and high-demand data engineering roles.
Here are the DP-700 exam details.
| Exam Criteria | Details |
| Exam Code | DP-700 |
| Exam Name | Microsoft Certified: Fabric Data Engineer Associate |
| Duration | 120 minutes |
| Number of Questions | 40–60 (Multiple Choice) |
| Passing Score | 700 / 1000 |
| Exam Language | Available in multiple languages |
| Certification Validity | 1 Year |
| Recertification | Free of Cost |
| Exam Administration Authority | Microsoft |
You can gain practical experience working with the complete Microsoft Fabric ecosystem through comprehensive lab exercises in the Azure cloud environment.
You can access Azure architectural guides, DP-700 exam prep kit, lab manuals, and curated GitHub notebooks containing practical implementation examples.
You can practice setting up Fabric workspaces, exploring OneLake capabilities, and implementing security controls through guided hands-on sessions.
You can build a complete data engineering solution implementing pipelines, lakehouse architecture, security controls, and monitoring in Microsoft Fabric.
You can develop streaming solutions with Eventhouse and implement real-time analytics using Spark structured streaming and Kusto Query Language.
You can create deployment pipelines for automated solution delivery while mastering version control techniques for enterprise data engineering projects.
If you are a professional who designs and implements data pipelines and transformations.
If you are a developer with SQL expertise seeking to expand into cloud analytics.
If you are a cloud specialist working with Azure data services and requiring Fabric skills.
If you are a professional focused on transforming raw data into analytics-ready formats.
If you are a technical architect planning enterprise data solutions across organisations.
If you are an expert working with cloud platforms and seeking Microsoft-specific expertise.
Edoxi’s 32-hour hands-on Microsoft Fabric course offers practical Azure sessions with Fabric workspaces, OneLake, pipelines, and real-time data exercises. These include
In this project, you develop a comprehensive Microsoft Fabric solution with integrated pipelines, lakehouse architecture, security controls, and monitoring components.
In this activity, you create and configure Microsoft Fabric workspaces with appropriate settings for development, testing, and production environments.
In this exercise, you can configure OneLake storage, implement shortcuts, and establish proper data organisation strategies for efficient data management.
In this activity, you can build data ingestion processes using Dataflow Gen2 to transform and load data from various sources.
In this exercise, you can develop data pipelines for orchestrating end-to-end workflows with proper scheduling, parameters, and error handling mechanisms.
In this activity, you can structure data using bronze, silver, and gold layers to create organised, reliable datasets for analytics consumption.
In this exercise, you can build real-time data ingestion processes using eventstreams to capture and process continuous data flows.
In this activity, you can develop and optimise KQL queries for analysing streaming data within Eventhouse for immediate insights.
Edoxi’s 32-hour DP-700 Microsoft Fabric Data Engineer certification in Dubai equips you with the essential data engineering skills needed for technical roles in today’s data-driven organisations. The major outcomes after completing our course include
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Join Edoxi’s Microsoft Fabric Data Engineer (DP-700) Course
Edoxi’s 32-hour DP-700 Microsoft Fabric Data Engineer training in Dubai delivers practical, Microsoft-authorised expertise to help you build and manage modern data engineering solutions. Here are the major reasons to choose us
Edoxi holds official Microsoft Learning Partner status, providing direct access to the latest Microsoft Fabric curriculum, labs, and certification resources.
Our trainers are Microsoft-certified professionals with hands-on implementation experience across major UAE enterprises and government organisations.
The DP-700 course aligns with our broader Microsoft Azure and data certification tracks to build end-to-end cloud data engineering capabilities.
Each learner gets access to dedicated Azure labs and the full Microsoft Fabric ecosystem for real-world implementation practice.
Small batch sizes ensure individual attention, allowing instructors to address specific technical challenges and learning goals.
Edoxi delivers customised Microsoft Fabric training for government entities, banks, and enterprises across the UAE and the Middle East.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Manish Rajpal
Manish is a passionate Corporate Trainer, AI Consultant, and Cloud Solutions Architect. He empowers clients across the globe to build and maintain highly available, resilient, scalable, and secure solutions, now with a growing emphasis on AI-powered architectures. With over 15,000 professionals trained, Manish specialises in technologies including Amazon Web Services, Microsoft Azure, Microsoft Copilot and GitHub Copilot and increasingly, AI and Machine Learning.
Manish has led research and workshops focused on integrating AI into cloud environments, exploring use cases like intelligent automation, natural language processing, and responsible AI practices.