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Microsoft Fabric Data Engineer Associate Training (DP-700)

Microsoft Fabric Data Engineer Associate Training (DP-700)
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    Live Online Classes starting on 12th Apr 2025
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    Instructor-led Master Data Engineering with Microsoft Fabric live online Training Schedule

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    19,995
    Starts at 6,665 / monthWith No Cost EMI Know more
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    Why enroll for Microsoft Fabric Data Engineer Training?

    pay scale by Edureka courseThe 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.
    Industries70% Prominent Fortune 500 companies are using Microsoft Fabric to build scalable data engineering solutions and support AI innovation - Microsoft
    Average Salary growth by Edureka courseThe 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

    Live Interactive Learning

    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
    Lifetime Access

    Lifetime Access

    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
    24x7 Support

    24x7 Support

    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
    Hands-On Project Based Learning

    Hands-On Project Based Learning

    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
    Industry Recognised Certification

    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

    • skillDesign Scalable Data Solutions
    • skillIngest and Transform Data
    • skillOptimize Data Pipelines
    • skillIntegrate Fabric Components
    • skillImplement Security Measures
    • skillAnalyze and Monitor Data Insights

    Tools Covered

    • Microsoft Fabric
    • Microsoft OneLake
    • Dataflows Gen2
    • Microsoft Fabric Notebooks
    • Apache Spark
    • Kusto Query Language
    • SQL Server Management Studio (SSMS)
    • Microsoft Data Activator
    • Fabric Capacity Metrics App
    • Git

    Microsoft Fabric Data Engineer Associate Course Curriculum

    Curriculum Designed by Experts

    AdobeIconDOWNLOAD 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

    skillHands-on

    • Setting Up Microsoft Fabric Trial
    • Exploring Microsoft Fabric Interface

    skillSkills

    • 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

    skillHands-on

    • Creating and Managing a Lakehouse
    • Implementing Medallion Architecture
    • Querying and Transforming Data

    skillSkills

    • 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

    skillHands-on

    • Analyzing Data with Apache Spark
    • Visualizing data using Apache Spark

    skillSkills

    • 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

    skillHands-on

    • Working with Delta Tables in Apache Spark

    skillSkills

    • 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

    skillHands-on

    • Creating and Using a Dataflow Gen2 in Microsoft Fabric
    • Implementing Pipelines in Microsoft Fabric

    skillSkills

    • Data Ingestion with Dataflows Gen2
    • Pipeline Orchestration and Monitoring

    Designing and Managing Data Warehouses

    8 Topics

    Topics

    • Data Warehouses in Microsoft Fabric
    • 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

    skillHands-on

    • Data Warehouse Creation and Management
    • Data Ingestion and Transformation

    skillSkills

    • Data Warehouse Operations Management
    • Data Ingestion into Data Warehouses
    • Data Transformation with Dataflow Gen2

    Querying and Monitoring Microsoft Fabric Warehouse

    10 Topics

    Topics

    • Querying a Data Warehouse
    • Star Schema Design: Benefits and Best Practices
    • Applying Ranking Functions in Data Analysis
    • Exploring Visual Query Editor
    • SQL Server Management Studio (SSMS)
    • Monitoring Data Warehouse Performance and Capacity
    • Exploring Microsoft Fabric Capacity Metrics App
    • Benefits of using Microsoft Fabric Capacity Metrics App
    • Querying Dynamic Management Views (DMVs)
    • Monitoring Query Trends with Query Insights Views

    skillHands-on

    • Querying the Data Warehouse
    • Monitoring Data Warehouse Performance and Metrics

    skillSkills

    • SQL Querying
    • Data Analysis
    • SQL Server Management Studio
    • Data Warehouse Performance Monitoring

    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

    skillHands-on

    • Exploring Real-Time Intelligence in Fabric
    • Ingesting Real-Time Data with EventStream in Microsoft Fabric
    • Working with Data in a Microsoft Fabric Eventhouse

    skillSkills

    • Real-Time Data Processing
    • EventStream Management
    • KQL for Data Analysis

    Implementing Continuous Integration and Deployment (CI/CD)

    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

    skillHands-on

    • Connecting to a Git Repository
    • Building Deployment Pipelines in Microsoft Fabric

    skillSkills

    • CI/CD Implementation in Microsoft Fabric
    • Version Control with Git
    • Automation using Fabric APIs

    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
    • Taking Action with Microsoft Fabric Activator
    • Fabric Security Model
    • Configuring Workspace and Item Permissions
    • Applying Granular Permissions
    • Administrating Microsoft Fabric
    • Governing Data in Fabric

    skillHands-on

    • Monitoring Fabric Activity in the Monitor Hub
    • Securing Data Access in Microsoft Fabric

    skillSkills

    • Microsoft Fabric Security Implementation
    • Governance and Monitoring in Microsoft Fabric

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    Microsoft Fabric Certification Course Details

    About Microsoft Fabric Data Engineer Associate (DP-700) Course

    Microsoft Fabric DP 700 Course equips professionals with skills to design, implement data engineering solutions using Microsoft Fabric, focusing on ingesting, transforming, securing, managing, and optimizing analytics solutions.

      What is Microsoft Fabric?

      Microsoft Fabric 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 learn Microsoft Fabric?

        Learning Microsoft Fabric empowers professionals with a unified, AI-powered platform that simplifies data analytics, enabling businesses to efficiently access, manage, and act on data within a single, integrated environment.

          What are the prerequisites for this Microsoft Fabric Data Engineer Associate (DP-700) Course?

          To successfully undertake this course, learners should know SQL for relational databases, KQL for large datasets, and PySpark for data processing in Microsoft Fabric. Basic knowledge of Azure, data analytics, and data engineering is also helpful.

            Why move to Microsoft Fabric?

            Fabric offers a smooth, intuitive SaaS experience. It combines disparate parts into a coherent stack. It centralizes data storage with OneLake and embeds AI capabilities, eliminating the need for manual integration. You can quickly turn unprocessed data into actionable insights with Fabric.

              Why should you become a Microsoft Fabric Data Engineer?

              As demand for Fabric professionals grows, Microsoft Fabric Data Engineers gain expertise in data pipelines, governance, and analytics. The role provides competitive salaries, hands-on learning, and AI-driven project experience.

                What is the difference between Microsoft Fabric and Databricks?

                Microsoft Fabric is a user-friendly all-in-one analytics platform that leverages Azure technology, making it suited for business users, whereas Databricks specializes on big data processing and machine learning across major cloud providers, catering to more technical data professionals.

                  What will participants learn during the Microsoft Fabric Data Engineer Associate (DP-700) Course?

                  After completing the Microsoft Fabric Training, participants will gain hands-on experience in OneLake, Data Pipelines, Data Warehousing, Real-Time Analytics, SQL & KQL Querying, Performance Monitoring, Security, and CI/CD & Deployment.

                    Is it worth learning Microsoft Fabric?

                    Yes, learning Microsoft Fabric is worthwhile for data engineers, analysts, and business intelligence experts. It combines data integration, storage, processing, and visualisation by combining Power BI, Synapse, and OneLake. With increasing deployment, Fabric skills provide promising employment prospects in cloud data solutions.

                      Who should take this Microsoft Fabric Data Engineer Associate (DP-700) Course?

                      The Microsoft Fabric Data Engineer Associate (DP-700) course is intended for data professionals who want to create and deploy data engineering solutions using Microsoft Fabric. This includes data engineers, analytics engineers, architects, administrators, business analysts, and data analysts.

                        Is Data Engineering a good career option?

                        Yes, data engineering is considered a good career choice due to high demand for skilled professionals, competitive salaries, constant learning opportunities, and the ability to make a significant impact on business decisions by building robust data infrastructure across various industries, making it a stable and growing field with good job security.

                          How will I execute the practicals in this Microsoft Fabric Data Engineer Associate (DP-700) Course?

                          To complete the practicals, you'll need access to Microsoft Fabric via the free trial subscription. A setup guide will be provided in the LMS. Edureka's Support Team is available 24/7 for any assistance or technical issues.Edureka's Support Team will be available 24/7 to assist you in case you have any questions or face any technical issues during the practicals.

                            How can beginners learn Microsoft Fabric?

                            Microsoft Fabric is beginner-friendly and easy to learn with the right guidance. It's recommended that newcomers first build foundational knowledge in Microsoft Azure, Power BI, and data analysis before diving deeper.

                              What are the system requirements for this Microsoft Fabric Data Engineer Associate (DP-700) Course?

                              This Microsoft Fabric Training requires a computer with at least 8 GB RAM and an Intel Core i3 processor (or equivalent), running Windows 10+ or macOS with virtualization support. A stable, high-speed internet connection is needed for accessing course materials and Microsoft Fabric services.

                                Projects

                                 certification 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....
                                 certification projects

                                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 Certified Fabric Data Engineer Associate (DP-700) Certification

                                A Microsoft Fabric Data Engineer is responsible for managing data pipelines, optimizing storage, ensuring security, enabling real-time insights, and improving performance. This role requires expertise in data engineering and integration.
                                To earn the Microsoft Fabric Data Engineer (DP-700) title, you must pass the DP-700 exam with a minimum scaled score of 700 out of 1000. Passing depends on proficiency and exam difficulty, not just answering 70% correctly.
                                The  Microsoft Fabric Data Engineer (DP-700) exam cost is US$165 in the United States and ₹4865 in India. The price of the examination varies from region to region,
                                This exam is offered in the following languages: English, Japanese, Chinese (Simplified), German, French, Spanish, and Portuguese (Brazil).

                                The Microsoft Fabric Data Engineer (DP-700) Course aims to deliver an in-depth comprehension of data engineering solutions utilizing Microsoft Fabric. It explores three main areas, emphasizing vital skills and practices needed for data engineers:
                                • Develop and Oversee an Analytics Solution (25–30%): Addresses areas such as security measures, governance practices, and monitoring of data engineering processes.  
                                • Acquire and Modify Data (45–50%): Centers on the processes of data acquisition, transformation, and querying utilizing components of Microsoft Fabric.  
                                • Oversee and Enhance an Analytics Solution (25–30%): Encompasses performance optimization, workload refinement, and techniques for troubleshooting. 
                                These percentages indicate the key focus areas and exam content distribution, ensuring candidates are well-prepared for real-world data engineering responsibilities in Microsoft Fabric.

                                If you fail the Microsoft Fabric Data Engineer (DP-700) certification exam, Microsoft has a clear retake policy in place:
                                • First Retake Attempt: If you fail on your first attempt, you must wait 24 hours before scheduling and retaking the exam.
                                • Subsequent Retakes: If you fail the second attempt, you must wait 14 days before taking the exam again. The 14-day waiting period applies to all subsequent retakes after the second attempt.
                                • Maximum Retakes: You are allowed up to five retakes per year for a single exam. After the fifth attempt, you will need to wait 12 months from the date of your last exam to retake it.
                                • Retake Fees: Retakes are not free, and you will need to pay the exam fee for each attempt unless you have a valid retake voucher.
                                A Microsoft Fabric Data Engineer Associate (DP-700) excels in designing scalable solutions, optimizing data processes, ensuring security, leveraging modern technologies, and collaborating to drive data-driven decisions.
                                To earn Edureka’s Microsoft Fabric training certificate, you must fully participate in the course and complete all assessments, hands-on projects, and assignments.
                                The Microsoft Fabric certification boosts credibility by validating expertise in data engineering with Microsoft Fabric, helping professionals stand out and enabling employers to hire skilled experts in data pipelines and real-time analytics.
                                Earning the Microsoft Fabric DP-700 Certification opens doors to roles like Data Engineer, Analyst, or Architect, where you'll design pipelines, manage lakehouses, optimize warehouses, and leverage Spark and KQL for data insights.
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                                Frequently Asked Questions (FAQs)

                                Why should I enroll in this best Microsoft Fabric Data Engineer Associate (DP-700) training online?

                                This training will equip you with the skills to design, implement, and optimize data engineering solutions using Microsoft Fabric. You'll gain expertise in data ingestion, transformation, orchestration, real-time analytics, and lakehouse management, enhancing your career in data engineering and cloud-based analytics.

                                Is passing the Microsoft Fabric Data Engineer Associate (DP-700) Exam hard?

                                The exam can be challenging as it covers a broad range of topics, including data ingestion, transformation, real-time processing, and data engineering best practices using Microsoft Fabric. However, with proper preparation and hands-on experience with Dataflows Gen2, pipelines, Apache Spark, eventstream, and lakehouses, it is manageable.

                                Is it worth getting the Microsoft Fabric Data Engineer Associate (DP-700) certification?

                                Yes, this certification is highly valuable as it validates your expertise in data engineering, data integration, and real-time analytics using Microsoft Fabric. It enhances your employability, career growth opportunities, and credibility in cloud-based data engineering roles.

                                What are the objectives of our Microsoft Fabric Data Engineer Associate (DP-700) course?

                                The course aims to teach how to ingest, transform, store, and manage data engineering solutions using Microsoft Fabric. Learners will gain expertise in building data pipelines, implementing real-time analytics, optimizing data storage, and ensuring data security to support scalable and efficient data processing in the cloud.

                                What would be my role as a Microsoft Fabric Data Engineer?

                                As a Microsoft Fabric Data Engineer Associate (DP-700), you would be responsible for ingesting, transforming, and managing data pipelines, optimizing data storage solutions, ensuring data security and governance, and working with real-time analytics to enable data-driven insights.

                                What if I miss a live Microsoft Fabric Data Engineer Associate (DP-700) class?

                                You will have access to recorded sessions that you can review at your convenience.

                                What if I have queries after I complete this Microsoft Fabric Data Engineer Associate (DP-700) training online?

                                You can reach out to Edureka’s support team for any queries and you’ll have access to the community forums for ongoing help.

                                What skills will I acquire upon completing the Microsoft Fabric Data Engineer Associate (DP-700) training?

                                After completing the Microsoft Fabric Data Engineer Associate (DP-700) training, you'll gain skills in data ingestion, transformation, and pipeline optimization. You'll also learn to implement real-time data solutions, manage storage with lakehouses and Delta tables, apply security and governance, monitor performance, and implement CI/CD for seamless deployment.

                                How does the DP-700 certification contribute to career advancement in the data engineering field?

                                The Microsoft Fabric Data Engineer Associate (DP-700) certification boosts career growth by validating expertise  in designing, deploying, and managing data solutions using Microsoft Fabric,expanding job opportunities, and preparing professionals for senior roles in cloud data engineering.

                                What is the minimum technical knowledge or experience required to attempt the DP-700 certification exam?

                                Foundational knowledge of data engineering, familiarity with Microsoft Fabric components, and proficiency in SQL, PySpark, and KQL for data management.

                                What programming languages are most relevant for preparing for the DP-700 certification?

                                Key programming languages for the DP-700 certification include SQL, KQL, and Spark (Python, SparkSQL, PySpark).

                                Can someone with minimal data engineering experience pursue the DP-700 certification and find related job opportunities?

                                Absolutely! Beginners with basic SQL and Azure/data fundamentals can take the Microsoft Fabric certification. It enhances expertise in data engineering, transformation, and real-time analytics with Microsoft Fabric, opening doors to roles like Data Engineer, Architect, and Analyst.

                                Why is the Microsoft Fabric Data Engineer Associate (DP-700) certification important for data engineering professionals?

                                The Microsoft Fabric certification is essential for data engineering professionals as it demonstrates their proficiency in designing, implementing, and optimizing scalable data solutions with Microsoft Fabric.

                                Is becoming a Microsoft Fabric Data Engineer Associate a promising career path?

                                Definitely! As organizations increasingly rely on cloud-based data platforms, Fabric Data Engineers play a crucial role, ensuring strong job prospects and long-term career stability.

                                What is the future scope of Microsoft Fabric Data Engineering in the data industry?

                                Pursuing a career as a Microsoft Fabric Data Engineer Associate offers strong growth potential due to the increasing demand for professionals skilled in data engineering, cloud-based data integration, and real-time data processing solutions.

                                How soon after signing up would I get access to the learning content?

                                Once you sign up, you will get immediate access to the course materials and resources.

                                Is the course material accessible to the students even after the Microsoft Fabric Data Engineer Associate (DP-700) online training is over?

                                Yes, you will have lifetime access to the course material and resources, including updates.

                                Will I get placement assistance after completing this Microsoft Fabric Data Engineer Associate (DP-700) training?

                                Edureka provides placement assistance by connecting you with potential employers and helping with resume building and interview preparation.

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