DP-700T00-A: Implement data engineering solutions using Microsoft Fabric

4.8(9,923 Ratings)

Duration

4 Days

Upcoming Batch

02 November 2026 - 05 November 2026

Batch Options

4 hours & 8 hours

Language

English / Arabic

Course Overview

DP-700T00-A: Implement Data Engineering Solutions Using Microsoft Fabric is a comprehensive, hands-on training programme designed for data professionals who want to build, manage, and optimise modern data engineering solutions using Microsoft Fabric.

This course provides in-depth knowledge of designing end-to-end data architectures that unify data ingestion, transformation, storage, and analytics within a single, scalable platform. Participants will learn how to work with OneLake, Data Factory, Lakehouse, Data Warehouse, and real-time analytics capabilities in Microsoft Fabric to support enterprise-level data workloads.

By combining practical labs with real-world scenarios, this course prepares learners to implement secure, high-performance data pipelines and deliver reliable data solutions that support business intelligence, analytics, and AI initiatives.

Course Objectives & Learning Outcomes:

Understand the architecture and core components of Microsoft Fabric
Design and implement scalable data engineering solutions using Fabric
Ingest, transform, and orchestrate data using Fabric Data Factory
Build and manage Lakehouse and Data Warehouse solutions
Work with OneLake for unified and governed data storage
Optimise data pipelines for performance, reliability, and cost efficiency
Implement data security, governance, and access control in Fabric
Monitor, troubleshoot, and maintain data engineering workflows
Support analytics, reporting, and AI workloads with well-engineered data solutions

Prerequisites:

Understanding of data concepts, SQL, and relational databases.
Familiarity with Power BI, data modeling, and analytics workflows.
Experience with ETL/ELT processes and data pipelines.
Knowledge of data governance and security concepts.

Target Audience

Data engineers and analytics professionals.
Power BI developers transitioning to Microsoft Fabric.
BI and ETL specialists working on enterprise-scale data solutions.
Data architects designing integrated analytics pipelines.
Learners preparing for the DP-700 certification exam.

Course Content

5 modules · 27 topics

01 Module 1: Ingest data with Microsoft Fabric6 topics

Ingest Data with Dataflows Gen2 in Microsoft Fabric
Orchestrate processes and data movement with Microsoft Fabric
Use Apache Spark in Microsoft Fabric
Get started with Real-Time Intelligence in Microsoft Fabric
Use real-time eventstreams in Microsoft Fabric
Work with real-time data in a Microsoft Fabric eventhouse

02 Module 2: Implement a Lakehouse with Microsoft Fabric7 topics

Introduction to end-to-end analytics using Microsoft Fabric
Get started with lakehouses in Microsoft Fabric
Use Apache Spark in Microsoft Fabric
Work with Delta Lake tables in Microsoft Fabric
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Orchestrate processes and data movement with Microsoft Fabric
Organize a Fabric lakehouse using medallion architecture design

03Module 3: Implement Real-Time Intelligence with Microsoft Fabric4 topics

Get started with Real-Time Intelligence in Microsoft Fabric
Use real-time eventstreams in Microsoft Fabric
Work with real-time data in a Microsoft Fabric eventhouse
Create Real-Time Dashboards with Microsoft Fabric

04 Module 4: Implement a data warehouse with Microsoft Fabric6 topics

Introduction to end-to-end analytics using Microsoft Fabric
Get started with data warehouses in Microsoft Fabric
Load data into a Microsoft Fabric data warehouse
Query a data warehouse in Microsoft Fabric
Monitor a Microsoft Fabric data warehouse
Secure a Microsoft Fabric data warehouse

05 Module 5: Manage a Microsoft Fabric environment4 topics

Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric
Monitor activities in Microsoft Fabric
Secure data access in Microsoft Fabric
Administer a Microsoft Fabric environment

Schedule Dates

4 upcoming batches

Session Type

Physical sessions run at our training facility.

DP-700T00-A: Implement data engineering solutions using Microsoft Fabric
Batch Dates	Duration	Batch Options	Language
02 November 2026 - 05 November 2026Next	4 Days	4 hours & 8 hours	English / Arabic
08 February 2027 - 11 February 2027	4 Days	4 hours & 8 hours	English / Arabic
10 May 2027 - 13 May 2027	4 Days	4 hours & 8 hours	English / Arabic
16 August 2027 - 19 August 2027	4 Days	4 hours & 8 hours	English / Arabic

Can’t find a suitable date? Request a schedule that fits your team.

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FAQs

What is Microsoft Fabric, and why is it important for data engineering?

Microsoft Fabric is an all-in-one analytics platform that unifies data engineering, data integration, data warehousing, and analytics. It simplifies data architecture by providing a single environment for managing end-to-end data workflows.

What skills will I gain from this course?

You will gain practical skills in data ingestion, transformation, orchestration, storage design, performance optimisation, and governance using Microsoft Fabric.

How does this course support modern analytics and AI workloads?

The course teaches how to prepare and manage high-quality data pipelines that serve as the foundation for analytics, reporting, and AI-driven insights.

How does the course address data security and governance?

Participants learn how to implement role-based access control, data protection, governance policies, and monitoring within Microsoft Fabric.

What career opportunities are available after completing this course?

Completing this course enhances career prospects for roles such as Data Engineer, Microsoft Fabric Engineer, Analytics Engineer, BI Engineer, and Cloud Data Specialist.

This course includes:

Soft copy of Courseware
Certificate of Course Completion
Experienced and Professional Trainer
Lab and Exercises During Training
Sample Questions for Exam Preparation
Mock Test on the Last Day of Training
Exam Registration Guidance
5-Star Training Environment

Upcoming Batch

02 November 2026 - 05 November 2026

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