Why enroll for Microsoft Fabric Data Engineer Training?
The Big Data Engineering Services Market, valued at USD 91.54 billion in 2025, is projected to reach USD 187.19 billion by 2030 - Mordor Intelligence.
70% Prominent Fortune 500 companies are using Microsoft Fabric to build scalable data engineering solutions and support AI innovation - Microsoft
The average salary for a Data Engineer in the United States is US$133,000 per year, with an average annual bonus of $28,000 - Glassdoor.
Microsoft Fabric Certification Training Benefits
The global enterprise data management market size is anticipated to grow at a CAGR of 12.4% from 2025 to 2030. As businesses adopt AI-powered Microsoft Fabric, the demand for certified Data Engineers will increase and our program prepares you for the Official Microsoft Fabric Data Engineer Associate (DP-700) certification, which will help you build a successful career in this exponentially growing domain.
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Why Microsoft Fabric Data Engineer Training from edureka
Live Interactive Learning
World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing
Lifetime Access
Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content
24x7 Support
One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time
Hands-On Project Based Learning
Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments
Industry Recognised Certification
Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion
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About your Microsoft Fabric Data Engineer Training
Skills Covered
Design Scalable Data Solutions
Ingest and Transform Data
Optimize Data Pipelines
Integrate Fabric Components
Implement Security Measures
Analyze and Monitor Data Insights
Tools Covered
Microsoft Fabric Data Engineer Associate Course Curriculum
Curriculum Designed by Experts
DOWNLOAD CURRICULUM
Getting Started with Microsoft Fabric
10 Topics
Topics
Introduction to Microsoft Fabric
AI-powered Microsoft Fabric vs. Traditional Analytics Platforms
Microsoft Fabric Architecture
Core Components of Microsoft Fabric
Key features of Microsoft Fabric
Fabric in Action: Real-World Use cases
Collaborative Workflows in Microsoft Fabric
OneLake: The Unification of Lakehouses
Microsoft Fabric Pricing
Working with Fabric Workspaces
Hands-on
Setting Up Microsoft Fabric Trial
Exploring Microsoft Fabric Interface
Skills
Microsoft Fabric Fundamentals
Workspace Management
Designing and Managing Lakehouses in Microsoft Fabric
8 Topics
Topics
Introduction to Lakehouse
Data Warehouse vs. One Lake vs. Lakehouse
Lakehouse Architecture in Microsoft Fabric
Introduction to the Medallion Architecture
Implementing Medallion Architecture in Fabric
Data Discovery and Transformation in Lakehouse
Data Querying and Reporting Techniques for Fabric Lakehouse
Best Practices for Lakehouse Governance and Optimization
Hands-on
Creating and Managing a Lakehouse
Implementing Medallion Architecture
Querying and Transforming Data
Skills
Lakehouse Architecture
Data Management
Implementing Medallion Architecture
Data Processing with Apache Spark
6 Topics
Topics
Preparing to use Apache Spark
Exploring Spark Settings
Running Spark Code in Microsoft Fabric
Data Processing with Spark DataFrames
Querying Data with Spark SQL
Visualizing Data in a Spark Notebook
Hands-on
Analyzing Data with Apache Spark
Visualizing data using Apache Spark
Skills
Data Processing with Apache Spark
Data Visualization
Managing and Optimizing Data with Delta Lake
8 Topics
Topics
Introduction to Delta Lake
Creating Delta Tables
Optimizing Delta Tables
Delta Table Optimization Features
Partitioning Delta tables
Working with Delta Tables in Spark
Spark Structured Streaming
Streaming Data with Delta Tables
Hands-on
Working with Delta Tables in Apache Spark
Skills
Delta Lake Table Management
Data Manipulation using Spark SQL
Ingesting and Orchestrating Data with Dataflows and Pipelines
8 Topics
Topics
What is a Dataflow?
Dataflows Gen2 in Microsoft Fabric
Explore Dataflows Gen2 in Microsoft Fabric
Core Concepts of Pipelines
Working with Copy Data activity
Utilizing pipeline templates
Running and monitoring pipelines
Integrating Dataflows Gen2 and Pipelines
Hands-on
Creating and Using a Dataflow Gen2 in Microsoft Fabric
Implementing Pipelines in Microsoft Fabric
Skills
Data Ingestion with Dataflows Gen2
Pipeline Orchestration and Monitoring
Data Warehouses in Microsoft Fabric
12 Topics
Topics
Introduction to Data Warehouse
How Data Warehouses Fit into the Microsoft Fabric Ecosystem
Designing a Data Warehouse
Creating and Managing Data Warehouse Tables
Data Warehouse Table Management
Exploring Data Ingestion and Loading Strategies
Data Loading and Transformation with Dataflow Gen2
Transforming Data using Copilot
Querying a Data Warehouse
Star Schema Design: Benefits and Best Practices
Applying Ranking Functions in Data Analysis
Exploring Visual Query Editor
Hands-on
Data Warehouse Creation and Management
Data Ingestion and Transformation
Querying the Data Warehouse
Skills
Data Warehouse Operations Management
Data Ingestion into Data Warehouses
Data Transformation with Dataflow Gen2
SQL Querying and Data Analysis
Real-Time Data Processing and Intelligence
12 Topics
Topics
What is Real-Time Data Analytics?
Real-Time Intelligence in Microsoft Fabric
Getting Started with an Eventhouse
Components of EventStreams
EventStream Sources and Destinations
EventStream Transformations
Querying Real-time data
Materialized Views and Stored Functions
Automating Actions with Data Activator
Getting Started with Real-Time Dashboards
Advanced Features in Real-Time Dashboards
Best Practices for Real-Time Dashboards
Hands-on
Exploring Real-Time Intelligence in Fabric
Ingesting Real-Time Data with EventStream in Microsoft Fabric
Working with Data in a Microsoft Fabric Eventhouse
Skills
Real-Time Data Processing
EventStream Management
KQL for Data Analysis
Security, Monitoring and Governance in Microsoft Fabric
11 Topics
Topics
Importance of Security in Microsoft Fabric
Exploring Dynamic Data Masking
Row-level and Column-level Security
Monitoring in Microsoft Fabric
Using Microsoft Fabric Monitor Hub
Monitoring Data Warehouse Performance and Capacity
Querying Dynamic Management Views (DMVs)
Monitoring Query Trends with Query Insights Views
Taking Action with Microsoft Fabric Activator
Fabric Security Model
Configuring Workspace and Item Permissions
Applying Granular Permissions
Administrating Microsoft Fabric
Governing Data in Fabric
Hands-on
Monitoring Fabric Activity in the Monitor Hub
Data Warehouse Performance and Metrics
Securing Data Access in Microsoft Fabric
Skills
Microsoft Fabric Security Implementation
Data Warehouse Performance Monitoring
Governance and Monitoring in Microsoft Fabric
Data Engineering and Processing with Azure
13 Topics
Data Engineering and Processing with Azure
Introduction to Azure Databricks
Microsoft Fabric vs Databricks
Exploring common Azure Databricks workloads
Data governance with Unity Catalog and Microsoft Purview
Performing data analysis with DataFrame APIs
Building scalable data pipelines with Delta Live Tables
Introduction to Azure Data Lake Storage Gen2
Azure Data Lake Store vs. Azure Blob Storage
Big Data Processing Stages
Leveraging Data Lake Storage Gen2 for Analytics
Advanced Threat Protection for Azure Storage
Securing Azure Data Lake Storage
Hands-on
Running Apache Spark Workloads in Azure Databricks
Building a Data Pipeline with Delta Live Tables
Creating Data lake Storage Gen2
Skills
Data Ingestion & Exploration
Delta Lake Management
Scalable Pipeline Building
Big Data Processing
Data Security & Access Control
Data Integration and Analytics with Azure
9 Topics
Topics:
What is Azure Data Factory (ADF)?
Azure Data Factory Components
Ingestion Methods in Data Factory
Data Factory Control Flow
Working with Data Factory Pipelines
SQL Server Integration Services
What is Azure Synapse Analytics?
Data Warehouse in Azure Synapse Analytics
Apache Spark in Azure Synapse Analytics
Orchestrate data integration with Azure Synapse pipelines
Hands-on
Setting-up Azure Data Factory
Copy Activity using ADF
Load data into Azure Synapse Analytics using Azure Data Factory or a Synapse Pipeline
Skills
Azure SQL Deployment
Pipeline Management in ADF
Data Ingestion with Azure Data Factory
Pipeline Orchestration & Control Flow
Apache Spark Integration
Data Orchestration with Synapse Pipelines
Implementing Continuous Integration and Deployment (CI/CD) in Microsoft Fabric (Self-Paced)
5 Topics
Topics
Lifecycle management in Microsoft Fabric
Continuous Integration and Continuous Delivery (CI/CD)
Implementing Version Control and Git Integration
Building Deployment Pipelines
Automating CI/CD using Fabric APIs
Hands-on
Connecting to a Git Repository
Building Deployment Pipelines in Microsoft Fabric
Skills
CI/CD Implementation in Microsoft Fabric
Version Control with Git
Automation using Fabric APIs
Microsoft Fabric Certification Preparation (Self-Paced)
6 Topics
Topics:
Microsoft Fabric: Best Practices
Microsoft Fabric: Use Case
Sample Question Discussion
Time Management Tips
Common Pitfalls to Avoid in the Exam
Mock Exam
Hands-on
Mock Exam
Skills
Microsoft Certified: Fabric Data Engineer Associate (DP-700)
Course Details
About DP-700 Course
This course equips professionals with skills to design, implement data engineering solutions, focusing on ingesting, transforming, securing, managing, and optimizing analytics solutions.
What is Microsoft Fabric?
It is an AI-powered, end-to-end analytics platform that combines data engineering, data science, data analytics, and business intelligence, enabling professionals to manage and analyze data efficiently.
Why should I enroll in this Fabric Data Engineer training online?
If you want to master Microsoft Fabric, this online training provides you with everything you need, such as live classes, hands-on labs, expert mentorship, and lifetime access to updated content. It is a live online class, job-focused, and designed for real-time success.
What are the prerequisites for this Microsoft Fabric course?
To successfully undertake this course, learners should know SQL for relational databases, KQL for large datasets, and PySpark for data processing . Basic knowledge of Azure, data analytics, and data engineering is also helpful.
What are the main course objectives?
The main objectives are focused on designing scalable data solutions, how to ingest, transform, and analyze data, optimizing pipelines, implementing security, and preparing effectively for the DP-700 certification.
What happens if I miss a live class?
If you miss a class, you will get instant access to the recorded session and all the related study materials.
What projects are included in this DP-700 training course?
The course includes hands-on, industry-aligned projects such as building scalable data pipelines, managing dataflows, and working with OneLake and Delta Lake, which prepares you for real-world data engineering tasks.
How long does it take to complete the Microsoft Fabric Data Engineer course?
It takes 4 to 4.5 weeks to complete, depending on how much time they dedicate weekly.
Is Edureka’s DP-700 course officially Microsoft-endorsed or partner-backed?
While Edureka is not a direct Microsoft training partner, the course is fully aligned with the official DP-700 exam syllabus.
Is the course material available after training?
The course includes hands-on, industry-aligned projects such as building scalable data pipelines, managing dataflows, and working with OneLake and Delta Lake, which prepares you for real-world data engineering tasks.
Can I get help after the training ends?
Yes, Edureka provides lifetime support, which means you can revisit the content, raise queries, or get guidance even after the course is over.
Projects
End-to-End Enterprise Data Management with Microsoft Fabric
Develop a strong data platform utilizing Microsoft Fabric by consolidating data from various sources into a Lakehouse. Employ Dataflows, Pipelines, and Delta Tables for the inges....
Scalable Real-Time Data Orchestration in Microsoft Fabric
Create a real-time analytics platform that utilizes EventStreams and Apache Spark for streaming data ingestion and processing. Leverage Eventhouse for immediate transformations a....
Microsoft Fabric Data Engineer Certification
Here's a quick breakdown:
Enroll in a DP-700 training course
Practice hands-on with Microsoft Fabric tools
Study the official exam guide and take mock tests
Register for the DP-700 exam via Microsoft Learn
Pass the exam and receive your certification
The cost of the DP-700 exam is around $165 globally. In India, it usually falls between ₹4,800 and ₹5,500, depending on taxes and currency fluctuations. Always check the Microsoft Learn site for exact pricing.
Currently, the DP-700 exam is available in English. Microsoft may expand to other languages in the future, so you can check the official site for updates.
Yes, you can reschedule your exam through the Microsoft Certification Dashboard. Just make sure to do it at least 24 hours before the scheduled time to avoid penalties.
It validates your practical skills in Microsoft Fabric, which is in high demand. It enhances your resume and helps you land data engineering roles and career growth in cloud analytics and AI integration.
To earn Edureka’s Microsoft Fabric training certificate, you must fully participate in the course and complete all assessments, hands-on projects, and assignments.
If you fail the DP-700 exam, you can retake it after 24 hours. If you fail again, you'll need to wait 14 days before the next attempt. Microsoft allows up to five retakes per year.
Yes, It is valid for one year. You can renew it for free by taking a short online assessment before it expires.
You can take the exam online or by visiting a test center.
It is a multiple-choice exam that typically lasts about 100–120 minutes and includes scenario-based questions, case studies, and concept validation questions.
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Frequently Asked Questions (FAQs)
Is the certification worth it?
Yes, absolutely. The DP-700 certification is recognized globally and proves your expertise in Microsoft Fabric. It opens doors for high-paying roles from data engineering to cloud analytics.
Is Microsoft Fabric certification hard?
Yes, absolutely. The DP-700 certification is recognized globally and proves your expertise in Microsoft Fabric. It opens doors for high-paying roles from data engineering to cloud analytics.
What technical knowledge or experience is needed before starting?
You should have a basic understanding of data concepts, databases, or how cloud services like Azure work is helpful but not mandatory.
Can beginners pursue this certification and get a job?
Yes, beginners can absolutely go for the DP-700 certification. The training is beginner-friendly and includes guided projects. Once certified, you can apply for entry-level data engineering or analyst roles.
Which programming languages should I learn for certification prep?
You don't really need an expert in programming language, but if you know SQL and basic Python, it will help a lot.
Can I take the DP-700 exam without prior Azure experience?
Yes, you can take the exam without Azure knowledge.
What is the average salary after DP-700 certification in India and globally?
Certified Microsoft Fabric Data Engineers in the U.S. earn around $130,000/year, with additional bonuses. In India, average salaries range from ₹8–15 LPA, depending on experience, domain, and location.
What job roles can I apply for after completing the DP-700 certification?
Once certified, you can apply for roles like Data Engineer, Microsoft Fabric Developer, Data Analyst, BI Engineer, or Azure Data Specialist.
What are the primary differences between Azure Databricks and Microsoft Fabric?
Azure Databricks is built for big data and advanced analytics using Apache Spark. At the same time, Microsoft Fabric is an all-in-one platform that combines data engineering, integration, and Power BI analytics. Fabric is more end-to-end and low-code friendly.
How is OneLake used in Microsoft Fabric for data engineering?
OneLake is Microsoft Fabric’s unified storage layer. It stores structured and unstructured data across the platform, letting engineers work seamlessly with lakehouses, dataflows, and Power BI, all from a single location.
How does Microsoft Fabric compare to Azure Synapse or Databricks?
Microsoft Fabric combines features of Synapse (analytics), Power BI (visualization), and parts of Databricks (data engineering). It’s a unified platform, while Synapse and Databricks focus more narrowly on specific stages of the data pipeline.
Why is this certification important for professionals?
The DP-700 certification proves your expertise in using Microsoft Fabric, a cutting-edge platform backed by Microsoft. It helps professionals stand out in cloud, analytics, and AI-driven roles across industries.
What is the future scope of Fabric data engineering?
Microsoft Fabric is gaining rapid adoption among enterprises for its AI integration, low-code design, and scalability. As more organizations shift to unified analytics, skilled Fabric Data Engineers will be in high demand.
What is the difference between DP-700 and DP-203 certifications?
DP-203 focuses on Azure Data Engineering, using services like Data Lake, Synapse, and ADF. DP-700 centers on Microsoft Fabric, offering a unified, AI-powered platform with tighter Power BI and data analytics integration.