Edoxi’s 32-hour (4 days) Online Microsoft Fabric Data Engineer course is designed for experienced data professionals seeking to strengthen their expertise within the Microsoft data ecosystem. Our intermediate-level DP-700 Microsoft Fabric Data Engineer focuses on Microsoft’s unified analytics platform, enabling you to develop a deep understanding of modern data engineering concepts and cloud-based analytics architectures.
Our DP-700 Microsoft Fabric Data Engineer training is ideal for data engineers, BI developers, and cloud data specialists aiming to advance their careers in data engineering and analytics roles. You prepare for opportunities across industries such as finance, retail, healthcare, manufacturing, and technology services, where scalable and secure data platforms are essential.
Edoxi’s DP-700 Microsoft Fabric Data Engineer certification course emphasises practical, hands-on learning using Microsoft Azure and Fabric environments. You work on real-world scenarios involving Fabric workspaces, OneLake configuration, end-to-end data ingestion and transformation, and deployment pipelines for cloud-based data engineering solutions.
Our DP-700 Microsoft Fabric Data Engineer course is aligned with the Microsoft DP-700 certification path, helping you prepare effectively for the certification exam. This alignment enhances your exam readiness, strengthens your professional credibility, and supports career progression into high-demand enterprise data engineering roles. Here are the DP-700 Microsoft Fabric Data Engineer exam details:
| Exam Criteria | Details |
| Exam Code | DP-700 |
| Exam Name | Microsoft Certified: Fabric Data Engineer Associate |
| Duration | 120 minutes |
| No. 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 across the complete Microsoft Fabric ecosystem through guided lab exercises in the Azure cloud environment, building confidence in real-world data engineering tasks.
You can develop streaming data solutions using Eventhouse and implement real-time analytics with Spark structured streaming and Kusto Query Language for live insights.
You can practise setting up Microsoft Fabric workspaces, exploring OneLake capabilities, and implementing role-based security controls through structured, hands-on sessions.
You can build a complete data engineering solution by implementing pipelines, lakehouse architecture, security controls, and monitoring within Microsoft Fabric.
You can access Azure architectural guides, DP-700 exam preparation resources, detailed lab manuals, and curated GitHub notebooks containing practical implementation examples.
You can create deployment pipelines for automated solution delivery while mastering version control techniques essential for enterprise-scale data engineering projects.
Professionals who design and implement data pipelines and transformations.
Developers with SQL expertise seeking to expand into cloud analytics.
Cloud specialists working with Azure data services require Fabric skills.
Professionals focused on transforming raw data into analytics-ready formats.
Technical architects plan enterprise data solutions across organisations.
Experts working with cloud platforms seeking Microsoft-specific expertise.
Edoxi’s 32-hour Online DP-700 Microsoft Fabric Data Engineer course delivers hands-on activities in Microsoft Azure and Fabric environments. Here are the key practical exercises included in the DP-700 Microsoft Fabric Data Engineer course:
Within this project, you develop a complete Microsoft Fabric data engineering solution by integrating data pipelines, lakehouse architecture, security controls, and monitoring components. You gain experience in designing and delivering enterprise-ready analytics solutions.
During this exercise, you create and configure Microsoft Fabric workspaces for development, testing, and production environments. You apply best practices for workspace organisation, access control, and environment separation.
In this exercise, you configure OneLake storage, implement shortcuts, and establish effective data organisation strategies. You learn how to manage unified data storage for scalable analytics workloads.
Within this exercise, you build data ingestion processes using Dataflow Gen2 to extract, transform, and load data from multiple sources. You focus on reliable data preparation and transformation techniques.
In this exercise, you develop end-to-end data pipelines to orchestrate workflows across Fabric components. You configure scheduling, parameters, and error-handling mechanisms to ensure robust data processing.
During this exercise, you structure data using bronze, silver, and gold layers. You create organised and trusted datasets optimised for downstream analytics and reporting.
Within this exercise, you build real-time data ingestion solutions using eventstreams. You capture and process continuous data flows to support real-time analytics use cases.
During this exercise, you develop and optimise KQL queries to analyse streaming data within Eventhouse. You generate immediate insights by querying and monitoring real-time datasets.
Completing Edoxi’s 32-hour Online Microsoft Fabric Data Engineer (DP-700) certification establishes essential competencies for technical roles in the rapidly growing data engineering market. Here are the major outcomes of achieving the DP-700 Microsoft Fabric Data Engineer certification:
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Join Edoxi’s Microsoft Fabric Data Engineer (DP-700) Course
Here are the key reasons why learners and organisations choose Edoxi’s DP-700 Microsoft Fabric Data Engineer training:
As an official Microsoft Learning Partner, Edoxi delivers training aligned with the latest Microsoft Fabric curriculum and certification resources.
Edoxi’s trainers hold active Microsoft certifications and bring extensive real-world implementation experience across major UAE industries and government organisations.
Our DP-700 course integrates seamlessly with Edoxi’s broader Microsoft certification portfolio, enabling learners to build end-to-end cloud data engineering capabilities.
We provide dedicated Azure lab access, allowing each learner to work directly with the complete Microsoft Fabric ecosystem through practical implementation exercises.
Our Small batch sizes ensure individualised attention, enabling trainers to address each participant’s specific learning needs and technical challenges.
Edoxi delivers customised Microsoft data and cloud training programmes 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.
Here are the major international locations where Edoxi offers Microsoft Fabric Data Engineer (DP-700) Course
You should have a basic understanding of data concepts and hands-on working knowledge of at least one data query language such as SQL, PySpark, or KQL. Prior experience with Azure data services is beneficial but not mandatory.
Yes. DP-203 certified professionals can attempt Edoxi’s DP-700 Microsoft Fabric Data Engineer exam. However, they must still demonstrate practical knowledge of at least one supported query language (SQL, PySpark, or KQL), as required by the certification prerequisites.
Edoxi’s DP-700 Microsoft Fabric Data Engineer course is ideal for data engineers, analytics engineers, BI professionals, and cloud practitioners looking to work with Microsoft Fabric as a unified analytics platform in enterprise environments.
Edoxi’s DP-700 Microsoft Fabric Data Engineer course follows a progressive structure, starting with Microsoft Fabric fundamentals and advancing to complex, real-world data engineering scenarios through guided labs and hands-on exercises.
You work with the complete Microsoft Fabric ecosystem, including OneLake, Dataflows Gen2, Lakehouses, Warehouses, Eventhouse, deployment pipelines, and integrated data transformation and orchestration tools.
Our DP-700 Microsoft Fabric Data Engineer course is highly practical, with extensive hands-on labs focused on data ingestion, transformation, orchestration, monitoring, and optimisation using real-world datasets and enterprise-style use cases.
The curriculum is directly aligned with DP-700 exam domains. It includes exam-focused labs, scenario-based exercises, and practice tests that mirror the hands-on skills assessed in the certification.
No. Microsoft Fabric integrates and enhances existing Azure data services, providing a unified experience across the entire data lifecycle rather than replacing individual services.
Yes. Our DP-700 Microsoft Fabric Data Engineer course is particularly valuable for Power BI professionals who want to expand from reporting and visualisation into full-scale data engineering and analytics platform management.
Yes. While the certification focuses on Microsoft Fabric, the data engineering principles taught, such as data modelling, orchestration, optimisation, and governance, are transferable across cloud platforms.
Yes. Edoxi offers customised corporate training packages that can be tailored to specific industries, organisational data architectures, or selected Fabric components relevant to business needs.
Globally, professionals with Microsoft Fabric and data engineering skills typically earn between USD 80,000 and USD 1,30,000 per year, depending on location, experience, and role. Salaries may be higher for senior data engineers and cloud analytics specialists working in large enterprises or consulting environments.
