# Microsoft Fabric Data Engineer (DP-700) > Join Edoxi’s 32-hour Online DP-700 Microsoft Fabric Data Engineer Course. Develop key skills in data cloud environments and get certified in Data Engineer. ## Course Details - Rating: 4.9/5 (100 reviews) - Category: Cloud Computing - Sub-Category: Microsoft Azure ## Course Introduction Edoxi’s 32-hour Online DP-700 Microsoft Fabric Data Engineer Training focuses on implementation, data ingestion, transformation, and solution monitoring. Learn workspace configuration, security governance, and orchestration techniques. Gain skills that boost eligibility for data engineering roles and improve your organisation’s data network. Earn DP-700 Microsoft Fabric Data Engineer Certification. Enrol now! ## Course Overview - Delivery Modes: Online - Course Duration: 32 Hours - Corporate Days: 4 Days - Learners Enrolled: 25+ - Modules: 7 ## Who Can Join Our DP-700 Microsoft Fabric Data Engineer Course? **Data Engineers and ETL Developers** Professionals who design and implement data pipelines and transformations. **BI Developers and SQL Specialists** Developers with SQL expertise seeking to expand into cloud analytics. **Azure Data Professionals** Cloud specialists working with Azure data services require Fabric skills. **Analytics Engineers** Professionals focused on transforming raw data into analytics-ready formats. **Solution Architects** Technical architects plan enterprise data solutions across organisations. **Cloud Data Specialists** Experts working with cloud platforms seeking Microsoft-specific expertise. ## DP-700 Microsoft Fabric Data Engineer Course Modules ### Module 1: Implement and Manage an Analytics Solution **Chapter 1.1: Configuring Fabric Workspace Settings** - Lesson 1.1.1: Spark, domain, and OneLake configuration - Lesson 1.1.2: Data workflow workspace setup **Chapter 1.2: Lifecycle Management** - Lesson 1.2.1: Version control strategies - Lesson 1.2.2: Using database projects for analytics - Lesson 1.2.3: Deployment pipelines for solution delivery **Chapter 1.3: Security and Governance** - Lesson 1.3.1: Workspace- and item-level access controls - Lesson 1.3.2: Row-, column-, object-, and file-level security - Lesson 1.3.3: Dynamic data masking and sensitivity labels - Lesson 1.3.4: Endorsing items and workspace logging **Chapter 1.4: Orchestration in Microsoft Fabric** - Lesson 1.4.1: Pipelines versus notebooks - Lesson 1.4.2: Scheduling and event triggers - Lesson 1.4.3: Orchestration patterns and error handling - Lesson 1.4.4: Parameters and variables in orchestration **Chapter 1.5: Monitoring and Optimisation** - Lesson 1.5.1: Tracking ingestion and transformation processes - Lesson 1.5.2: Semantic model refresh and alert configuration - Lesson 1.5.3: Troubleshooting pipelines, dataflows, notebooks, and T-SQL - Lesson 1.5.4: Performance tuning techniques ### Module 2: Ingest and Transform Data **Chapter 2.1: Data Loading Patterns** - Lesson 2.1.1: Full versus incremental loads - Lesson 2.1.2: Batch versus streaming strategies **Chapter 2.2: Batch Ingestion and Transformation** - Lesson 2.2.1: Selecting appropriate data stores - Lesson 2.2.2: Using Dataflows Gen2 and notebooks - Lesson 2.2.3: PySpark, KQL, and T-SQL integration - Lesson 2.2.4: Shortcuts, mirroring, and data handling techniques **Chapter 2.3: Streaming Ingestion and Real-Time Transformation** - Lesson 2.3.1: Choosing streaming tools - Lesson 2.3.2: Processing with eventstreams, Spark streaming, and KQL - Lesson 2.3.3: Implementing windowing logic ### Module 3: Monitor and Optimise an Analytics Solution **Chapter 3.1: Monitoring Fabric Artefacts** - Lesson 3.1.1: Monitoring ingestion jobs and transformation processes - Lesson 3.1.2: Semantic model refresh tracking and alerting **Chapter 3.2: Troubleshooting** - Lesson 3.2.1: Debugging pipeline, dataflow, and notebook failures - Lesson 3.2.2: Troubleshooting eventstream, eventhouse, and T-SQL issues **Chapter 3.3: Performance Optimisation** - Lesson 3.3.1: Lakehouse table tuning - Lesson 3.3.2: Pipeline and data warehouse optimisation - Lesson 3.3.3: Stream tuning and Spark performance enhancement ### Module 4: Lakehouse Implementation **Chapter 4.1: Understanding Lakehouse Architecture** - Lesson 4.1.1: Overview of Delta Lake architecture - Lesson 4.1.2: Using Apache Spark for ingestion and transformation **Chapter 4.2: Structuring and Managing Lakehouses** - Lesson 4.2.1: Medallion architecture: bronze, silver, and gold layers - Lesson 4.2.2: Managing Delta Lake tables and workflows ### Module 5: Data Warehouse Implementation **Chapter 5.1: Designing Analytics Solutions** - Lesson 5.1.1: End-to-end analytics with dimensional schemas - Lesson 5.1.2: Star schema design and slowly changing dimensions **Chapter 5.2: Data Loading and Integration** - Lesson 5.2.1: Pipelines, COPY, and PolyBase - Lesson 5.2.2: SQL and Spark integration techniques **Chapter 5.3: Querying and Securing Data Warehouses** - Lesson 5.3.1: Querying Microsoft Fabric data warehouses - Lesson 5.3.2: Securing data warehouse workflows ### Module 6: Real-Time Intelligence with Microsoft Fabric **Chapter 6.1: Fundamentals of Real-Time Intelligence** - Lesson 6.1.1: Introduction to real-time capabilities in Microsoft Fabric **Chapter 6.2: Streaming Data Ingestion** - Lesson 6.2.1: Ingesting data into eventstreams and eventhouses **Chapter 6.3: Real-Time Processing** - Lesson 6.3.1: Using Spark streaming and eventstreams **Chapter 6.4: Real-Time Dashboards** - Lesson 6.4.1: Creating and managing real-time dashboards ### Module 7: Fabric Environment Management **Chapter 7.1: Implementing CI/CD** - Lesson 7.1.1: CI/CD for solutions and workspace assets **Chapter 7.2: Monitoring and Administration Tasks** - Lesson 7.2.1: Monitoring Fabric logs and operational status - Lesson 7.2.2: Workspace administration and access management **Chapter 7.3: Enforcing Security Policies** - Lesson 7.3.1: Implementing security policies and access control ## Hands-on Activities Involved in the DP-700 Microsoft Fabric Data Engineer Training 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: **End-to-End Data Engineering Solution** 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. **Workspace Configuration** 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. ** OneLake Implementation** 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. **Data Ingestion with Dataflow Gen2** 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. **Pipeline Orchestration** 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. **Medallion Architecture Implementation** During this exercise, you structure data using bronze, silver, and gold layers. You create organised and trusted datasets optimised for downstream analytics and reporting. **Streaming Data Ingestion** 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. ** Real-Time Querying in Eventhouse** 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. ## Microsoft Fabric Data Engineer (DP-700) Course Outcomes and Career Opportunities 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: - You gain expertise in implementing Microsoft Fabric’s unified analytics platform to consolidate data engineering and analytics tools. - You learn to improve data integration efficiency by eliminating data silos through OneLake and standardised dataflow pipelines. - You develop the ability to accelerate time-to-insight using real-time data processing and optimised analytics pipelines. - You strengthen data governance and security by applying Microsoft Fabric’s built-in access controls and compliance features. - You learn to reduce operational costs by centralising analytics workloads on Microsoft Fabric’s SaaS-based infrastructure. - You enhance your capability to support cloud modernisation initiatives by leveraging Fabric’s integrated data services. ## Career Opportunities After Our DP-700 Microsoft Fabric Data Engineer Certification Course Fabric Data Engineer, Cloud Data Engineer, Data Intelligence Professional, Data Warehouse Developer / Professional, Analytics Engineer, ETL Developer, Data Platform Engineer, Big Data Engineer, Azure Data Engineer, Business Intelligence (BI) Engineer ## Microsoft Fabric Data Engineer (DP-700) Training Options **Live Online Training** - 32-hours of Interactive Instructor-led Sessions. - Real-time Virtual Lab Access. - Flexible Schedule Options. - Session Recordings for Review. **Corporate Training** - 4 days of Customised Classes for Organisational Needs. - Flexible Delivery Options (On-Site / Edoxi Office / Hotel). - Fly-Me-a-Trainer Option. - Food and refreshments provided for corporate teams. ## How to Get the DP-700 Microsoft Fabric Data Engineer Certified? Here’s a four-step guide to becoming a Microsoft Fabric Data Engineer (DP-700) professional. 1. Enrol in Edoxi’s 32-hour Online DP-7OO Microsoft Fabric Data Engineer Certification Course. 2. Attend Our Expert-led Training Sessions on the DP-7OO Microsoft Fabric Data Engineer Course. 3. Complete our hands-on Practical Activities and Post-Course Assessments. 4. Earn Edoxi’s DP-7OO Microsoft Fabric Data Engineer Course Completion Certification. ## Why Choose Edoxi for DP-700 Microsoft Fabric Data Engineer Certification? Here are the key reasons why learners and organisations choose Edoxi’s DP-700 Microsoft Fabric Data Engineer training: **Authorised Microsoft Learning Partner** As an official Microsoft Learning Partner, Edoxi delivers training aligned with the latest Microsoft Fabric curriculum and certification resources. **Microsoft Fabric–Certified Instructors** Edoxi’s trainers hold active Microsoft certifications and bring extensive real-world implementation experience across major UAE industries and government organisations. **Comprehensive Microsoft Cloud Learning Pathway** Our DP-700 course integrates seamlessly with Edoxi’s broader Microsoft certification portfolio, enabling learners to build end-to-end cloud data engineering capabilities. **Hands-on Learning Environment** We provide dedicated Azure lab access, allowing each learner to work directly with the complete Microsoft Fabric ecosystem through practical implementation exercises. **Personalised Learning Experience** Our Small batch sizes ensure individualised attention, enabling trainers to address each participant’s specific learning needs and technical challenges. **Trusted Provider of Corporate Training** Edoxi delivers customised Microsoft data and cloud training programmes for government entities, banks, and enterprises across the UAE and the Middle East. ## Frequently Asked Questions **Q: What are the prerequisites for enrolling in Edoxi’s DP-700 Microsoft Fabric Data Engineer course?** A: 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. **Q: Can learners who have completed theDP-203 course attempt Edoxi’s DP-700 exam?** A: 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. **Q: Who is eligible for Edoxi’s DP-700 Microsoft Fabric Data Engineer course?** A: 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. **Q: How is Edoxi’s DP-700 Microsoft Fabric Data Engineer course structured for optimal learning?** A: 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. **Q: What tools and technologies will I work with during Edoxi’s DP-700 Microsoft Fabric Data Engineer training?** A: You work with the complete Microsoft Fabric ecosystem, including OneLake, Dataflows Gen2, Lakehouses, Warehouses, Eventhouse, deployment pipelines, and integrated data transformation and orchestration tools. **Q: How practical is Edoxi’s DP-700 Microsoft Fabric Data Engineer training?** A: 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. **Q: How does Edoxi’s DP-700 Microsoft Fabric Data Engineer course prepare me for the DP-700 certification exam?** A: 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. **Q: Is Microsoft Fabric replacing other Azure data services?** A: No. Microsoft Fabric integrates and enhances existing Azure data services, providing a unified experience across the entire data lifecycle rather than replacing individual services. **Q: Is Edoxi’s DP-700 Microsoft Fabric Data Engineer course suitable for professionals migrating from Power BI roles?** A: 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. **Q: Is Edoxi’s DP-700 Microsoft Fabric Data Engineer certification valuable for cloud-agnostic data engineering roles?** A: 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. **Q: Can Edoxi’s DP-700 Microsoft Fabric Data Engineer training be customised for corporate teams?** A: 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. **Q: What is the average salary after completing the DP-700 Microsoft Fabric Data Engineer course?** A: 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. ## What Do You Learn from Edoxi's Microsoft Fabric Data Engineer Training **Implementing and Managing an Analytics Solution** You learn how to configure analytics workspaces with appropriate governance and security controls. You also learn orchestration techniques, version control practices, and deployment pipelines to manage the full analytics solution lifecycle effectively. **Data Warehouse Implementation** You learn to design dimensional data models and implement slowly changing dimensions. You also build end-to-end analytics workflows with optimised data loading methods and robust security controls. **Monitoring and Optimising Analytics Solutions** You learn to configure end-to-end monitoring for data ingestion and transformation processes. You also troubleshoot pipelines and apply performance tuning techniques across multiple Microsoft Fabric components. **Lakehouse Implementation** You learn to structure data using the medallion architecture with bronze, silver, and gold layers. You also manage Delta Lake tables and implement Apache Spark workflows for scalable and efficient data processing. **Advanced Analytics Governance and Cost Optimisation** You learn to implement enterprise-level governance frameworks to manage data access, compliance, and audit requirements. You also learn to optimise resource usage, control operational costs, and apply best practices for scaling analytics solutions across Microsoft Fabric environments. **Real-Time Intelligence with Microsoft Fabric** You learn to process streaming data using eventstreams and eventhouses to generate real-time insights. You also implement Spark structured streaming and develop responsive dashboards for live analytics use cases. **Microsoft Fabric Environment Management** You learn to implement CI/CD pipelines for automated deployment across multiple workspaces. You also configure workspace administration settings and enforce comprehensive security policies and access controls. **Data Ingestion and Transformation** You learn to design efficient data loading patterns for both batch and streaming data scenarios. You also apply dataflows, notebooks, and code-based transformations using PySpark, KQL, and T-SQL to prepare data for analytics. ## About This Course ## About Our Online Microsoft Fabric Data Engineer (DP-700) Course 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   Read More ## Key Features of Edoxi's Microsoft Fabric Data Engineer (DP-700) Training **Hands-on Microsoft Fabric Environment** 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. **Real-Time Data Processing PracticAals** You can develop streaming data solutions using Eventhouse and implement real-time analytics with Spark structured streaming and Kusto Query Language for live insights. **Interactive Workspace Configuration** You can practise setting up Microsoft Fabric workspaces, exploring OneLake capabilities, and implementing role-based security controls through structured, hands-on sessions. **End-to-End Capstone Project** You can build a complete data engineering solution by implementing pipelines, lakehouse architecture, security controls, and monitoring within Microsoft Fabric. **Comprehensive Study Materials** You can access Azure architectural guides, DP-700 exam preparation resources, detailed lab manuals, and curated GitHub notebooks containing practical implementation examples. **CI/CD Implementation Workshop** You can create deployment pipelines for automated solution delivery while mastering version control techniques essential for enterprise-scale data engineering projects. ## Trainer - Name: Manish Rajpal - Designation: Corporate Trainer 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. ## Enrol in This Course - Course URL: https://www.edoxi.com/microsoft-fabric-data-engineer-course - Phone: +971 43801666 - Email: info@edoxi.com