DP-700 Microsoft Fabric Data Engineer

DP-700 Microsoft Fabric Data Engineer

Summary

Location

Location

Malaysia

Duration

Duration

4 Days
Format

Format

Public Class

Public Class

Elevate Your Skills with Our MICROSOFT FABRIC ANALYTICS ENGINEER Course

Are you ready to supercharge your data analysis skills with our DP-600T00-A: Microsoft Fabric Analytics Engineer In just 4 days of engaging, instructor-led training, This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.

Why Choose Our MICROSOFT FABRIC ANALYTICS ENGINEER Course?

This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric.

Course Details

Course Code: DP-700T00; Duration: 4 Days; Instructor-led

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.

Audience

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).

Prerequisites

no prerequisites

Methodology

This program will be conducted with interactive lectures, PowerPoint presentation, discussion and practical exercise.

Course Objectives

  • no course objective

Outlines

  • Ingest Data with Dataflows Gen2 in Microsoft Fabric
  • Orchestrate processes and data movement with 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
  • 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
  • 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
  • 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
  • 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

Trainers

Reviews

Interested In

DP-700 Microsoft Fabric Data Engineer

Starting From
RM3500
Intake Date
23-26 MAR 2026
,
2-5 JUNE 2026
,
8-11 SEPT 2026
,
21-24 DEC 2026
Class Type
Private, Public

Why Us

Variety of Courses

Variety of Courses

Customizable Class

Customizable Class

Consultants Facilitate

Consultants Facilitate

HRDF Claimable

HRDC Claimable

Professional Certifications

Professional Certifications

Free Chat to Get Quote

Free Chat to Get Quote

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