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Microsoft Fabric Data Engineer Associate Training (DP-700)
Microsoft Fabric Data Engineer Associate Training (DP-700)
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Instructor-led Master Data Engineering with Microsoft Fabric live online Training Schedule
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Why enroll for Microsoft Fabric Data Engineer Training?
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
Tools Covered
Microsoft Fabric Data Engineer Associate Course Curriculum
Curriculum Designed by Experts
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
![skill]( "Hands On Experience")
- Setting Up Microsoft Fabric Trial
- Exploring Microsoft Fabric Interface
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Creating and Managing a Lakehouse
- Implementing Medallion Architecture
- Querying and Transforming Data
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Analyzing Data with Apache Spark
- Visualizing data using Apache Spark
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Working with Delta Tables in Apache Spark
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Creating and Using a Dataflow Gen2 in Microsoft Fabric
- Implementing Pipelines in Microsoft Fabric
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Data Warehouse Creation and Management
- Data Ingestion and Transformation
- Querying the Data Warehouse
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Exploring Real-Time Intelligence in Fabric
- Ingesting Real-Time Data with EventStream in Microsoft Fabric
- Working with Data in a Microsoft Fabric Eventhouse
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Monitoring Fabric Activity in the Monitor Hub
- Data Warehouse Performance and Metrics
- Securing Data Access in Microsoft Fabric
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Running Apache Spark Workloads in Azure Databricks
- Building a Data Pipeline with Delta Live Tables
- Creating Data lake Storage Gen2
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Setting-up Azure Data Factory
- Copy Activity using ADF
- Load data into Azure Synapse Analytics using Azure Data Factory or a Synapse Pipeline
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Connecting to a Git Repository
- Building Deployment Pipelines in Microsoft Fabric
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- Mock Exam
![skill]( "skill you will learn")
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
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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
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 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.
Can a non-technical person learn Azure?
With the right approach, mindset, and resources, non-technical individuals can gain a working knowledge of Azure and even specialize in certain areas.
What is Azure Databricks?
Azure Databricks is a cloud-based analytics platform optimized for big data and AI workloads. It enables data engineers and data scientists to process, transform, and analyze large datasets using Apache Spark. It supports ETL, real-time analytics, machine learning, and collaboration with Azure services like Data Lake and Synapse Analytics.
What are the primary differences between Azure Data Factory and Databricks?
Azure Data Factory is primarily used for data integration, migration, and orchestration, while Databricks is designed for big data processing, advanced analytics, and machine learning.
Is Azure Synapse an ETL tool?
Azure Synapse uses ELT rather than ETL. ETL is a method of loading data in the pattern of Extract, Transform, and Load. Azure Synapse uses an Extract, Load, and Transform process since it does not require the resources for data transformation before loading.
What are the primary differences between Azure Databricks and Microsoft Fabric?
Azure Databricks is a Spark-based platform for big data processing and AI, focused on advanced analytics and machine learning. Microsoft Fabric is an all-in-one data platform that unifies engineering, integration, analytics, and BI using tools like Power BI and Synapse for end-to-end data management and visualization.
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