DP-600T00: Microsoft Fabric Analytics Engineer

Last Updated: 20-06-2025

The DP-600T00: Microsoft Fabric Analytics Engineer course is designed for professionals who want to gain expertise in designing and implementing analytics solutions using Microsoft Fabric. Microsoft Fabric integrates various powerful tools and services to support data engineering, data transformation, and data analysis workflows across Azure. In this course, you'll learn how to work with data engineering solutions, develop pipelines, integrate Azure Synapse, and leverage Power BI for actionable insights. Whether you’re an analytics engineer, a data architect, or an IT professional, this course will equip you with the practical skills and hands-on experience to implement and manage end-to-end analytics solutions with Microsoft Fabric.

Schedule & Fee
Learning Objectives
Prerequisites
Target Audience
Course Modules
FAQs

Schedule	Learners	Course Fee (Incl. of all Taxes)	Register Your Interest
October 13^th - 16^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		40% Off ₹83,366 ₹50,020 Fast Filling! Hurry Up.
October 18^th - 26^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		40% Off ₹83,366 ₹50,020
October 20^th - 29^th 06:00 PM - 10:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		40% Off ₹83,366 ₹50,020
October 27^th - 30^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours) Guaranteed-to-Run		40% Off ₹83,366 ₹50,020
November 01^st - 09^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		50% Off ₹83,366 ₹41,683
November 03^rd - 06^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		50% Off ₹83,366 ₹41,683
November 10^th - 13^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		50% Off ₹83,366 ₹41,683
November 15^th - 23^rd 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		50% Off ₹83,366 ₹41,683
November 17^th - 26^th 06:00 PM - 10:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		50% Off ₹83,366 ₹41,683
November 24^th - 27^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours) Guaranteed-to-Run		50% Off ₹83,366 ₹41,683
November 29^th - 07^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		50% Off ₹83,366 ₹41,683
December 01^st - 04^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 32 Hours)		60% Off ₹83,366 ₹33,347

Course Prerequisites

Basic understanding of data engineering concepts, data warehousing, and database management.
Familiarity with Azure services such as Azure Synapse Analytics, Azure Data Factory, and Power BI will be beneficial.
Basic experience in SQL and data modeling will be helpful but not mandatory.
Experience working with cloud technologies and business intelligence tools is recommended, but beginners with a keen interest in data engineering can also benefit from the course.

Learning Objectives

By the end of the DP-600T00: Microsoft Fabric Analytics Engineer course, you will be able to:

Understand the architecture and components of Microsoft Fabric, including Azure Synapse Analytics, Power BI, and Azure Data Factory.
Design and implement data engineering solutions using Microsoft Fabric to handle complex data transformations and pipelines.
Develop ETL pipelines (Extract, Transform, Load) to process and prepare data for analytics.
Integrate Power BI with Microsoft Fabric to deliver actionable insights and create visually compelling reports and dashboards.
Work with Azure Synapse Analytics to build scalable and high-performance data processing solutions for large datasets.
Leverage data lakes, data warehouses, and data marts within Microsoft Fabric to efficiently store and process large volumes of data.
Implement data security, governance, and compliance best practices in your analytics solutions.
Optimize data pipeline performance and monitor them using Azure Data Factory and Synapse Analytics.
Solve real-world problems by building end-to-end analytics solutions, using machine learning and data science techniques.
Prepare for the DP-600 certification exam by completing practical, hands-on labs and exercises that cover Microsoft Fabric solutions.

Target Audience

This course is ideal for:

Data engineers and analytics professionals who want to deepen their understanding of data engineering principles and implement solutions using Microsoft Fabric.
Data architects who need to design, develop, and manage integrated analytics workflows in Microsoft Fabric.
Cloud professionals who want to enhance their skills in building data pipelines and analytics solutions within the Azure ecosystem.
Business analysts or Power BI users who want to leverage the power of Microsoft Fabric to gather insights from large-scale datasets.
Solution architects and data scientists seeking to build efficient, scalable analytics solutions for their organization using Azure Synapse and Power BI.
Anyone preparing for the DP-600 certification exam to validate their expertise as a Microsoft Fabric Analytics Engineer.

Course Modules

Learning Path 1: Maintain a Data Analytics Solution

Implement Security and Governance:
- Configure workspace-level and item-level access controls.
- Apply row-level, column-level, object-level, and file-level security measures.
- Implement sensitivity labels and endorse items to ensure data governance.
Manage the Analytics Development Lifecycle:
- Set up version control for workspaces.
- Create and manage Power BI Desktop projects (.pbip).
- Configure deployment pipelines and perform impact analysis of downstream dependencies.
- Deploy and manage semantic models using the XMLA endpoint.
- Create and update reusable assets, including Power BI templates (.pbit) and data source files (.pbids).

Learning Path 2: Prepare Data

Get Data:
- Establish data connections and discover data using OneLake data hub and real-time hub.
- Ingest or access data as needed, choosing between lakehouse, warehouse, or eventhouse structures.
- Implement OneLake integration for eventhouse and semantic models.
Transform Data:
- Create views, functions, and stored procedures to manipulate data.
- Enrich data by adding new columns or tables and implementing star schemas for lakehouses or warehouses.
- Denormalize data, aggregate information, merge or join datasets, and address data quality issues such as duplicates or null values.
- Convert column data types and apply filters as necessary.
Query and Analyze Data:
- Select, filter, and aggregate data using the Visual Query Editor, SQL, and Kusto Query Language (KQL).

Learning Path 3: Implement and Manage Semantic Models

Design and Build Semantic Models:
- Choose appropriate storage modes and implement star schemas.
- Establish relationships, such as bridge tables and many-to-many relationships.
- Develop calculations using DAX variables and functions, including iterators, table filtering, windowing, and information functions.
- Implement calculation groups, dynamic format strings, and field parameters.
- Identify use cases for and configure large semantic model storage formats.
- Design and build composite models.
Optimize Enterprise-Scale Semantic Models:
- Enhance performance in queries and report visuals.
- Improve DAX performance.
- Configure Direct Lake settings, including default fallback and refresh behavior.
- Implement incremental refresh for semantic models.

Course FAQs

The DP-600 certification, also known as Microsoft Certified: Azure Data Architect Technologies, validates your expertise in designing and implementing Azure data solutions. This certification benefits your career by demonstrating your proficiency in data management, security, and integration, which are critical skills for roles like Azure Data Architect, Cloud Data Engineer, and Database Administrator.

The DP-600 course provides in-depth knowledge of Azure’s data services, enabling you to design solutions that handle massive datasets, ensure security, and support business applications. You'll learn how to design scalable and efficient data storage, security, and processing architectures in Azure, which is essential for professionals looking to build high-performance data platforms.

By earning the DP-600 certification, you can pursue career paths such as: Azure Data Architect Cloud Data Engineer Data Solutions Architect Database Administrator Cloud Architect This certification validates your ability to design Azure-based data platforms and solutions, making you a valuable asset to organizations embracing cloud technology.

The DP-600 course will provide you with hands-on skills in the following areas: Designing Azure data storage solutions Managing and securing data in the cloud Integrating data across different systems Building advanced analytics solutions Implementing and managing big data solutions Designing real-time data solutions

Yes, the DP-600 certification is highly regarded by employers, especially those using Microsoft Azure for their data solutions. By becoming certified, you demonstrate that you have the advanced skills required to design and implement complex data solutions on Azure, making you more competitive in the job market and increasing your opportunities for career advancement.

The DP-600 course is ideal for professionals with experience in data management, database design, and cloud technologies. While it's not specifically targeted at beginners, those with a foundational understanding of Azure and cloud computing will find the course beneficial. For beginners, we recommend gaining some experience with Azure fundamentals first, like through the AZ-900 certification, before pursuing DP-600.

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