DP-700: Microsoft Fabric Data Engineer Training

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DP-700: Microsoft Fabric Data Engineer Training

DP-700: Microsoft Fabric Data Engineer Training
In the DP-700: Microsoft Fabric Data Engineer Training course, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies.This course is for data professionals with experience in data extraction, transformation, and loading.


Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).The student will spend time on the DP-700: Microsoft Fabric Data Engineer Training course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit.


In this course, you'll learn how to implement data engineering solutions with Microsoft Fabric. You'll learn how to:


  • Ingest and transform data
  • Monitor an analytics solution
  • Secure and manage an analytics solution

Advance Your Skills with Flexmind (Microsoft Partner)

Who should attend the DP-700 Training?

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For Professionals

The course is ideal for professionals seeking in-depth knowledge of data engineering using Microsoft Fabric and optionally preparing for the DP-700 certification exam, leading to the Microsoft Certified: Fabric Data Engineer Associate credential.

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For Businesses

DP-700 equips teams to build efficient, secure Microsoft Fabric data pipelines, improving analytics speed, lowering costs, and accelerating business insights.

Prerequisites for the DP-700: Microsoft Fabric Data Engineer Course

While there are no required prerequisites for taking this course, it is recommended that students have:


  • A foundational knowledge of core data concepts and how they’re implemented using Microsoft data services. For more information see Azure Data Fundamentals.
  • Experience with data extraction, transformation, loading, and orchestration

Key Features of Flexmind DP-700 Training

Flexmind provides this training in both online and offline modes in a comprehensive manner. It is designed in line with the latest exam requirements. The key features of this training are as follows:

4 Day · 32 Hours
Microsoft Certified Trainer
Official Courseware
Official Lab Access
Applied Workshop

Course Duration

The course has a total duration of 32 hours and is completed over 4 days.

Instructor-Led Training

This training is delivered by a senior Microsoft Certified Trainer with deep, hands-on experience in enterprise‑scale Microsoft Fabric implementations.

Microsoft Official Courseware

The program is delivered by Flexmind using Microsoft Courseware. You’ll work through study material, labs and applied workshops. The instructor guides you throughout the learning journey.

Applied Workshop

The applied workshop will take place on the final day of the course. It will help you practice the skills that you’ve learned. Here, learners are provided with options for scenarios from which they can pick the one they want to build. They will be required to create their own solution to the stated problem and any required automation.

Course Completion Certificate


A certification is awarded at the end of the course. This validates skills gained and adds credibility to your resume.

Course Outline

Module 1: Explore end-to-end analytics with Microsoft Fabric

  • Describe end-to-end analytics in Microsoft Fabric
  • Understand data teams and roles that use Fabric
  • Describe how to enable and use Fabric

Module 2: Get started with lakehouses in Microsoft Fabric

  • What is a lakehouse?
  • Load data into a lakehouse
  • Explore, transform, and visualize data in the lakehouse
  • Lab - Create a Microsoft Fabric Lakehouse

Module 3: Use Apache Spark in Microsoft Fabric

  • What is Apache Spark?
  • Run Spark in Fabric
  • Load data in a Spark Dataframe
  • Work with data using Spark SQL
  • Visualize data
  • Lab - Analyze data with Apache Spark

Module 4: Work with Delta Lake tables in Microsoft Fabric

  • Understand Delta Lake
  • Create Delta tables using code in Spark
  • Managed vs external tables
  • Use Delta lake as a streaming source
  • OptimizeWrite function
  • V-Order function
  • Lab - Use delta tables in Apache Spark

Module 5: Ingest data with Dataflow Gen2 in Microsoft Fabric

  • Understand Dataflow Gen2
  • Explore Dataflow Gen2
  • Integrate Dataflow Gen2 and pipelines

Module 6: Orchestrate processes and data movement with Microsoft Fabric

  • Pipelines in Microsoft Fabric
  • Run and monitor pipelines
  • Lab - Ingest data with a pipeline in Microsoft Fabric

Module 7: Organize a lakehouse with medallion architecture

  • Medallion architecture overview
  • Implement a medallion architecture
  • Secure the medallion layers
  • Lab - Organize your Fabric lakehouse using a medallion architecture

Module 8: Get started with Real-Time Intelligence in Microsoft Fabric

  • What is Real-Time Intelligence?
  • What is the Kusto Query Language (KQL)
  • Write KQL queries
  • Using render expressions in KQL
  • Lab - Get started with Real-Time Intelligence in Microsoft Fabric

Module 9: Use Real-Time Eventstreams in Microsoft Fabric

  • Components of eventstreams
  • Eventstream sources and destinations
  • Eventstream transformations
  • Lab - Ingest real-time data with Eventstreams in Microsoft Fabric

Module 10: Work with real-time data in a Microsoft Fabric eventhouse

  • Get started with an eventhouse
  • Use KQL effectively
  • Materialized views and stored functions
  • Lab - Work with data in a Microsoft Fabric eventhouse

Module 11: Create real-time dashboards with Microsoft Fabric

  • Get started with real-time dashboards
  • Organize and filter dashboard data
  • Dashboard management and optimization
  • Lab - Get started with Real-Time Dashboards in Microsoft Fabric

Module 12: Use Activator in Microsoft Fabric

  • What is Activator
  • Configure Activator for your data
  • Create rules in Activator
  • Lab - Use Activator in Fabric

Module 13: Get started with data warehouses in Microsoft Fabric

  • Data warehouse fundamentals
  • Design a data warehouse
  • Special types of dimension tables
  • Ingest data into a data warehouse
  • Query data
  • Build relationships
  • Security overview
  • Lab - Analyze data in a data warehouse

Module 14: Load data into a Microsoft Fabric data warehouse

  • Understand ETL (Extract, Transform and Load)
  • Stage the data
  • Different data load types
  • Dimension keys
  • Load dimension tables and fact tables
  • Load data with Fabric pipelines
  • Transform data with Copilot
  • Lab - Load data into a data warehouse in Microsoft Fabric
  • Lab - Query a data warehouse in Microsoft Fabric

Module 15: Monitor a Microsoft Fabric data warehouse

  • Monitor capacity metrics
  • Usage considerations
  • Monitor current activity
  • Query insights views
  • Lab - Monitor a data warehouse in Microsoft Fabric

Module 16: Secure a Microsoft Fabric data warehouse

  • Dynamic Data Masking
  • Masking Rules
  • Row-level security
  • Column-level security
  • Granular permissions using T-SQL
  • Lab - Secure a warehouse in Microsoft Fabric

Module 17: Implement continuous integration and continuous delivery (CI/CD)

  • Understand (CI/CD)
  • Use CI/CD in Fabric
  • Implement version control and Git integration
  • Implement deployment pipelines
  • Use deployment pipelines with Git
  • Lab - Implement deployment pipelines in Microsoft Fabric

Module 18: Monitor activities in Microsoft Fabric

  • Monitor Fabric activities
  • Use the Monitoring Hub
  • Lab - Monitor Fabric activity in the Monitor hub

Module 19: Secure data access in Microsoft Fabric

  • Understand the Fabric security model
  • Data security design
  • Understand workspace roles
  • Configure workspace and item-level permissions
  • Use T-SQL to configure granular permissions
  • Lab - Secure data access in Microsoft Fabric

Module 20: Administer Microsoft Fabric

  • Understand the Fabric Architecture
  • Fabric admin portal
  • Manage Fabric security
  • Assign and manage user licenses
  • Govern data in Fabric

Class Schedule

Instructor-Led Training

  • 32 Hours of Instructor-Led Training
  • One-to-one doubt resolution sessions
  • Microsoft Official Lab Access

Learning Objectives

The DP-700: Microsoft Fabric Data Engineer training course is for data professionals with experience in data extraction, transformation, and loading. The DP-700: Microsoft Fabric Data Engineer training course covers topics including:

  • Ingesting and transforming data
  • Monitoring an analytics solution
  • Securing and managing an analytics solution

About DP-700 Exam

To help you understand the assessment better, here are a few important details about the exam.


Exam Name DP-700: Microsoft Fabric Data Engineer
Who can Apply Appropriate for Data Engineer
Duration of Exam 100 Minutes
Fees Rs. 4,865 (India), $165 USD (United States)
Level of Difficulty Intermediate
Type of Credential Microsoft Certification
Languages English, Japanese, Chinese (Simplified), German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia)
Exam Retake Exam retake allowed after 24 hours
Quality Check during Assessment The online exam is proctored

The table below represents the weightage of each study area in the exam. Areas with higher percentages are expected to have more questions.

Study Area Percentage
Implement and manage an analytics solution 30-35%
Ingest and transform data 30-35%
Monitor and optimize an analytics solution 30-35%

How do our DP-700: Microsoft Fabric Data Engineer Training Course Work?

Your Roadmap to become successful

Learn Live Classes • Self-Paced

Upskill yourself by gaining insights from leading professionals' vast experience.

Practice

Sharpen your skills by learning through course assignments, live projects, and regular assessments and quizzes.

Ask

Resolve your queries from industry experts with our dedicated one-to-one doubt-clearing sessions.

Build

Craft a diverse portfolio and appealing resume, and optimize LinkedIn to showcase your skills

Reviews

Dipak Agarwal - Business Analyst at Genpact

(5/5)
Excellent professional & comfortable environment to learn

The training was good, I would like to go through some more training.

Gurpreet Marwaha - IAM Analyst at National Australia Bank, Australia

(5/5)
I learned a lot

Excellent Office 365 training provided by Flexmind

Kiranmai Yachareni - Web Developer at Total Quality Logistics, USA

(5/5)
Excellent ability to clarify all the queries I raised

Thank You! I would definitely recommend it to others. The training session was very informative and interactive. Very useful and definitely thought-provoking. All the module sessions were clear and interactive, great, and friendly. Catered to all levels, which was good for those just starting out and those with more experience. I really appreciate the recorded videos and training material, which would be definitely helpful for later references.

Praveen S (Associate at Grant Thornton LLP)

(5/5)
Excellent knowledge of the trainer on the Subject

I attended PowerApps/Flow training from Flexmind. The topics of the course were well organized & knowledge of the trainer on the subject was excellent. It was very helpful and I will apply in my day to day task at the office. I will definitely recommend a friend or colleague to attend courses from Flexmind.

FAQ's About DP-700: Microsoft Fabric Data Engineer Training Course

The DP‑700 course is designed to help learners develop the skills required to design, implement, secure, and optimize data engineering solutions using Microsoft Fabric. The training focuses on building enterprise‑scale data pipelines, lakehouses, data warehouses, and real‑time analytics solutions using Fabric tools and services.

This course is ideal for Data Engineers, Data Architects, ETL Developers, Analytics Engineers, and data professionals who are responsible for ingesting, transforming, orchestrating, and managing data for large‑scale analytics solutions using Microsoft Fabric.

Learners should have a foundational understanding of data engineering concepts, experience with data extraction, transformation, and loading (ETL), and working knowledge of SQL. Familiarity with PySpark or Kusto Query Language (KQL) and prior experience with modern data platforms is strongly recommended.

By completing this course, learners will gain skills in ingesting and transforming data, implementing lakehouses and data warehouses, building and orchestrating pipelines and notebooks, implementing real‑time intelligence solutions, and securing and managing Fabric environments.

The DP‑700 Microsoft Fabric Data Engineer Training is delivered over 4 days of instructor‑led training, providing in‑depth coverage of data engineering concepts aligned with the DP‑700 exam objectives.

Yes, this course is aligned with the official DP‑700 study guide and Microsoft Learn curriculum and is designed to prepare learners to successfully pass the DP‑700: Implementing Data Engineering Solutions Using Microsoft Fabric certification exam.

The DP‑700 course is delivered by a Microsoft Certified Trainer (MCT) with hands‑on experience in Microsoft Fabric and enterprise data engineering implementations, ensuring learners gain both certification‑focused knowledge and real‑world insights.

The course includes guided demonstrations and scenario‑based discussions that reflect real‑world data engineering challenges, helping learners understand how to design and manage scalable data solutions using Microsoft Fabric.

After successfully passing the DP‑700 exam, candidates earn the Microsoft Certified: Fabric Data Engineer Associate certification, validating their expertise in implementing data engineering solutions using Microsoft Fabric.

Yes, the DP‑700 course is suitable for corporate and enterprise teams looking to upskill data engineers and architects responsible for building, securing, and operating data platforms using Microsoft Fabric.

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