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CoursesMicrosoft Dynamics
Microsoft Fabric Analytics Engineer Associate is DP-600
Microsoft Dynamics
Microsoft Fabric Analytics Engineer Associate is DP-600

The Microsoft Fabric Analytics Engineer Associate (DP-600) test shows that you know how to design, build, and manage analytics solutions with Microsoft Fabric.

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Level

Advanced

Duration

8 weeks

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About Microsoft Fabric Analytics Engineer Associate is DP-600

Microsoft Fabric Analytics Engineer Associate (DP-600) is a professional certification designed for data and analytics professionals who want to build scalable, end-to-end analytics solutions using Microsoft Fabric. This course covers key concepts such as data integration, lakehouse architecture, data warehousing, pipelines, and visualization using Power BI and Spark. You will learn how to design, manage, and optimize data workflows for real-time insights and business intelligence.

With the growing demand for data-driven decision-making, DP-600 certified professionals are highly valued across India, especially in major IT hubs like Bangalore, Hyderabad, Noida, and Chennai. This training provides hands-on experience and practical skills required to work as a Fabric Analytics Engineer, Data Engineer, or BI Developer in top organizations.

Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Microsoft Fabric Analytics Engineer Associate is DP-600 Course Curriculum

Introduction to Microsoft Fabric

Learn about the architecture, parts, and analytics ecosystem of Microsoft Fabric.

Overview of Microsoft Fabric architecture
Key components: Data Factory, Data Engineering, Data Science, Real-Time Analytics, Power BI
Understanding Fabric capacities and workspaces

Data Ingestion and Integration

Learn how to connect, import, and change data from different sources into Microsoft Fabric.

Connecting to data sources using Dataflows and Pipelines
Transforming data with Power Query and Data Wrangler
Managing data refreshes and scheduling

Data Engineering in Fabric

Learn how to build and run Lakehouses, pipelines, and data transformations in a way that works.

Building and managing Lakehouses
Working with Delta Tables
Implementing Dataflow Gen2
Managing data storage and compute

Data Modeling and Transformation

Learn how to use DAX and Power Query to make better data models that give you better insights.

Designing effective data models in Power BI and Fabric
Using DAX and Power Query M for data transformation
Best practices for relationships, hierarchies, and calculations

Analytics and Visualization

Use Power BI inside Fabric to make interactive dashboards and reports that show real-time data.

Creating interactive reports and dashboards in Power BI
Using real-time data for insights
Advanced visuals and storytelling techniques

Data Governance and Security

To protect your company's data, put in place security, compliance, and access control.

Applying role-based access control (RBAC)
Data sensitivity labels and compliance
Managing Fabric capacities, workspaces, and permissions

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Who Should Take Microsoft Fabric Analytics Engineer Associate is DP-600

IT Professionals

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Fresh Graduates

Job Roles For Microsoft Fabric Analytics Engineer Associate is DP-600

Microsoft Fabric Engineer

Fabric Analytics Engineer

Data Analytics Engineer

Key Projects

Microsoft Fabric Analytics Engineer Associate is DP-600

Aditya Birla Fashion & Retail

Aditya Birla Fashion & RetailRetail Insights Lakehouse


Scenario: Engineered Microsoft Fabric lakehouse integrating retail sales inventory and customer loyalty data enabling real time dashboards and predictive trend insights.

Live Work:

  • Built Fabric lakehouse model
  • Created Power BI semantic layer
  • Designed incremental pipelines
Outcome: Enabled real time retail insights
Saint-Gobain

Saint-GobainManufacturing Data Grid


Scenario: Developed Fabric warehouse consolidating production quality and logistics datasets delivering unified reporting governance controls and analytics automation.

Live Work:

  • Modeled warehouse schemas
  • Implemented data governance
  • Automated ETL dataflows
Outcome: Improved plant data visibility
Metro Bank

Metro BankBank Risk Analytics Hub


Scenario: Designed Fabric analytics solution integrating loan transactions risk metrics and compliance logs enabling secure reporting regulatory dashboards.

Live Work:

  • Built Direct Lake models
  • Configured role level security
  • Created risk score reports
Outcome: Strengthened regulatory insights
Infosys

InfosysEnterprise Metrics Cloud


Scenario: Implemented Microsoft Fabric platform integrating project finance HR and delivery metrics enabling enterprise wide KPI dashboards automation.

Live Work:

  • Designed medallion architecture
  • Built real time pipelines
  • Developed KPI dashboards
Outcome: Enhanced enterprise analytics

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  • Meeting learning goals with confidence

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  • Students achieving industry-ready expertise

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