DP-700: Microsoft Fabric Data Engineer

Name: DP-700: Microsoft Fabric Data Engineer
Brand: Microsoft
Price: 3800 MYR
Availability: InStock

From RM3,800.00

Exam

Is your organization struggling to handle complex data engineering workflows? Are you finding it challenging to build scalable, real-time data solutions that meet modern enterprise demands? The Microsoft Fabric Data Engineer training course (DP-700T00-A) is your gateway to mastering enterprise-scale data engineering in the cloud era.

This comprehensive 4-day course is specifically designed for experienced data professionals who want to:

Streamline data ingestion from multiple sources using advanced dataflows and pipelines
Build robust data lakehouses using medallion architecture for optimal data organization
Implement real-time intelligence solutions for immediate business insights
Design and deploy secure, monitored data warehouses that scale with your needs
Establish automated CI/CD pipelines for consistent data engineering practices

Perfect for professionals with SQL, PySpark, or KQL experience, this course builds upon your DP-203 Azure Data Engineer foundation to help you tackle modern data challenges. Through hands-on exercises and interactive sessions, you'll learn to:

Transform complex data architectures into streamlined solutions
Implement real-time event processing for immediate decision-making
Secure and govern your data assets effectively
Monitor and optimize performance across your entire data estate

Don't let outdated data engineering practices hold your organization back. This course equips you with the skills to build and manage modern data solutions that drive business value. Whether you're handling batch processing, real-time streaming, or complex data transformations, you'll learn to leverage Microsoft Fabric's full potential for enterprise-scale data engineering.

Training Duration: 4 Days

Certificate Of Completion Available
Group Private Class
VILT Class Available
SBL-Khas Claimable

Download Course Outline

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration, such as those with the DP-203: Azure Data Engineer certification.
This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. 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).
Module 1: Ingest data with Microsoft Fabric
Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.

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

Prerequisites
Familiarity with Microsoft Fabric: Getting started with Fabric

Module 2: Implement a Lakehouse with Microsoft Fabric
This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.

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

Prerequisites
You should be familiar with basic data concepts and terminology

Module 3: Implement Real-Time Intelligence with Microsoft Fabric
Real-time intelligence in Microsoft Fabric enables analysis of streaming events in real or near-real time.

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

Prerequisites
The student should be familiar with Microsoft Fabric and SQL

Module 4: Implement a data warehouse with Microsoft Fabric
Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.

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

Prerequisites
You should be familiar with basic data concepts and terminology.

Module 5: Manage a Microsoft Fabric environment
Microsoft Fabric is a Software-as-a-Service platform for data analytics. Learn how to manage your environment through Continuous Integration/Continuous Deployment (CI/CD), monitoring, and security.

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

Prerequisites
Before starting this learning path, you should have experience with Microsoft Fabric or Power BI. You should also have a basic understanding of data engineering and management concepts

Frequently Asked Questions

What is Generative AI for Content Creation?

Generative AI for Content Creation refers to using AI tools to generate or enhance content such as images, videos, voiceovers, music, narration, and other creative assets from prompts and reference materials.

How can Generative AI help with content creation?

Generative AI can accelerate ideation and production by helping users create images, video concepts, voiceovers, music, and other content assets. It can also automate repetitive production workflows and generate multiple content variations.

Can beginners learn AI content creation without technical skills?

Yes. The course is designed for content creators, marketing teams, designers, social media managers, and business professionals, with practical exercises focused on prompting, creative production, and workflow automation rather than traditional programming.

Can Generative AI create videos and voiceovers?

Yes. The course covers prompt-to-video, image-to-video, AI voiceover, narration, music, sound design, voice cloning, and multilingual dubbing. Participants also learn about the current limitations of AI-generated video and audio.

What tools are used in this Generative AI content creation course?

The course introduces platforms and tools including Figma Weave, Krea, OpenArt, AI image and video models, and dedicated audio tools. Examples covered include ChatGPT Images, Nano Banana, Imagen, Veo, Seedance, Kling, ElevenLabs, and Minimax.

Is AI-generated content safe to use commercially?

AI-generated content may involve copyright, attribution, licensing, privacy, and confidentiality considerations. The course teaches participants how to identify these risks and apply responsible practices when creating content for commercial use.

Is this course HRDC Claimable?

Yes, the course can be offered as an HRDC claimable training programme, subject to applicable HRDC requirements, approval, and the employer's eligibility.

Can this Generative AI content creation course be customized?

Yes. The course can be customized around an organization's content requirements, brand guidelines, target audiences, preferred AI tools, and real-world content production workflows.

DP-700: Microsoft Fabric Data Engineer

ABOUT THIS COURSE

AUDIENCE

COURSE MODULE

Frequently Asked Questions

Contact Us