Microsoft DP-600 Training: Fabric Analytics Engineer Associate

This comprehensive course is designed to help you master the skills required to become a Fabric Analytics Engineer Associate and prepare for the DP-600 certification exam. The course will guide you through advanced Power BI techniques, working with lakehouses and data warehouses in Microsoft Fabric, and writing SQL and KQL code. It is also highly relevant for the following Microsoft Applied Skills: APL-3008, APL-3009, and APL-3010.

Through this course, you will learn how to plan, implement, and manage a data analytics solution, prepare and serve data efficiently, build and maintain semantic models, and explore and analyze data to support business intelligence needs.

What you will learn

In this course, you will gain practical knowledge and hands-on experience in several areas crucial to data analytics and business intelligence using Microsoft Fabric. You will learn to:

• Plan, design, and implement a comprehensive data analytics solution tailored to business needs.
  
  

• Prepare and manipulate data to ensure accuracy, consistency, and usability across reporting and analytics solutions.
  
  

• Develop and manage semantic models in Power BI, incorporating advanced DAX techniques for dynamic calculations.
  
  

• Explore and analyze data using advanced querying techniques, uncovering insights that support decision-making.

Additionally, you will gain skills in managing lakehouses and data warehouses within Microsoft Fabric, learning how to leverage SQL and KQL to query and transform large datasets efficiently.

Requirements

To get the most out of this course, you should already be familiar with the core concepts covered in Microsoft’s PL-300 exam. This includes:

• Solid understanding of data visualization principles and Power BI Service features.
  
  

• Strong experience with Power Query, including data transformation and manipulation (Get & Transform).
  
  

• Deep knowledge of data modeling techniques and DAX formulas to create dynamic calculations and measures.

Although not required, familiarity with SQL using the SELECT statement will be helpful in understanding the material related to lakehouses and data warehouses.

Course Description

This course is designed to help you become a proficient Fabric Analytics Engineer Associate and prepare you for Microsoft’s DP-600 certification exam. It is ideal for data analysts, business intelligence professionals, and anyone who wants to expand their skills in Power BI, Microsoft Fabric lakehouses, data warehouses, and eventhouses. The course builds upon the foundational knowledge gained in the PL-300 exam, but it also covers advanced topics that go beyond the standard Power BI curriculum.

Throughout the course, you will learn how to plan, implement, and manage a complete analytics solution. You will gain hands-on experience preparing and transforming data, creating robust semantic models, and performing in-depth data exploration and analysis. The course emphasizes practical skills, guiding you step-by-step through real-world scenarios so that you can confidently apply what you learn in your work environment.

The course is divided into four main parts. The first part revisits key Power BI concepts, including report creation, calculated columns, measures, and other PL-300 topics necessary for DP-600 preparation. In the second part, you will explore advanced Power BI features, such as calculation groups, field parameters, DAX variables, windowing functions, many-to-many relationships, dynamic strings, and optimization techniques. You will also learn about analytics project lifecycle management, version control, and deployment solutions.

In the third part, the course focuses on Microsoft Fabric lakehouses and data warehouses. You will learn how to ingest data using data pipelines and dataflows, create and manage lakehouses and warehouses, and manipulate data using SQL. You will master essential SQL clauses, including SELECT, FROM, WHERE, GROUP BY, HAVING, and ORDER BY, and learn how to implement these in real-world analytics projects.

The final part introduces eventhouses and Kusto Query Language (KQL). You will learn how to create eventhouses, write KQL queries, filter, aggregate, merge, and join data, and resolve duplicates and missing values. The course also covers converting SQL queries to KQL and leveraging advanced string, number, datetime, and timespan functions.

By the end of this course, you will have a solid understanding of maintaining a data analytics solution, preparing data for analysis, and implementing and managing semantic models. With practice, you will be fully equipped to attempt the official Microsoft DP-600 exam, and the “Microsoft Certified: Fabric Analytics Engineer Associate” credential will enhance your resume and professional profile.

Course Structure

This course is carefully structured into four main parts to guide you from foundational Power BI knowledge to advanced practical applications in Microsoft Fabric. Each section builds on the previous one, ensuring a progressive learning path that equips you with the skills and confidence to manage analytics solutions, work with lakehouses, data warehouses, and eventhouses, and ultimately prepare for the DP-600 certification exam.

Part 1 – Power BI Knowledge (PL-300 Foundation)

Part 1 is designed for learners who may not have completed Microsoft’s PL-300 exam or who want to refresh their foundational Power BI knowledge. If you already have PL-300 experience, you can skip ahead to Part 2 (Section 9). This section introduces you to the core concepts and functionality required to work effectively with Power BI and lays the groundwork for more advanced topics.

In this section, you will learn how to install and set up Power BI Desktop, create your first interactive report, and publish it to the Power BI Service for sharing and collaboration. You will also gain practical experience in creating calculated columns and measures using DAX, which are essential for building dynamic reports and performing in-depth data analysis. Additionally, this section covers key PL-300 exam topics, including data visualization best practices, fundamental modeling techniques, and essential data preparation workflows. By the end of Part 1, you will have a solid foundation in Power BI and the confidence to explore more advanced analytics topics.

Part 2 – Advanced Power BI Knowledge

Part 2 takes you beyond the PL-300 foundation into advanced Power BI concepts necessary for analytics engineers. This section emphasizes practical application and prepares you for handling complex data models and analytics scenarios.

You will learn how to design robust semantic models by implementing calculation groups, calculation items, and field parameters, which help streamline and standardize your analytics. Advanced DAX techniques, such as using variables and windowing functions, will allow you to perform sophisticated calculations and optimize your models. You will also explore external tools, including Tableau Editor 2 and DAX Studio, which enhance your ability to analyze and troubleshoot large datasets.

This section also covers implementing many-to-many relationships, creating dynamic strings, and using the Optimize menu to improve model performance. Beyond technical skills, you will gain insights into the analytics development lifecycle, including version control and deployment strategies, ensuring your projects are maintainable and scalable. Advanced analytics techniques such as creating aggregation tables and using the XMLA endpoint for external access are also included to provide a comprehensive understanding of enterprise-level Power BI practices.

Part 3 – Fabric Lakehouses and Data Warehouses (SQL)

Part 3 introduces Microsoft Fabric lakehouses and data warehouses, focusing on practical data manipulation using SQL. This section begins with an overview of Fabric, its architecture, and its components, providing context for the hands-on exercises that follow.

You will learn how to ingest data efficiently using data pipelines and dataflows and then create and manage both a lakehouse and a data warehouse environment. Using the SQL Analytics Endpoint, you will perform queries and manipulate data to gain insights and prepare datasets for reporting and analysis. Core SQL concepts are covered, including the six principal clauses of the SELECT statement: SELECT, FROM, WHERE, GROUP BY, HAVING, and ORDER BY. Best practices for structuring queries and optimizing data transformations in Fabric are emphasized to help you build performant analytics solutions.

Part 4 – Eventhouses and KQL

The final part of the course focuses on Eventhouses and Kusto Query Language (KQL), enabling you to analyze event-driven data efficiently. You will learn to create an eventhouse and understand its structure within Fabric, gaining hands-on experience with event-based analytics.

You will write sample KQL queries, learn how to translate SQL queries into KQL, and perform key data operations such as selection, filtering, and aggregation. This section also explores extending KQL queries using string, numeric, datetime, and timespan functions, providing powerful tools for advanced analytics. Additionally, you will learn how to transform and manipulate data, including merging, joining, and resolving duplicate or missing data issues, ensuring your datasets are clean and actionable.

No prior knowledge of DAX, SQL, or KQL is required to follow this course. Each section starts from the basics and progressively advances to more complex use cases, allowing learners of all levels to build their skills step by step. By the end of the course, you will be well-equipped to implement comprehensive analytics solutions and confidently pursue the DP-600 certification.

Course Outcomes

Upon completing this course, you will gain the knowledge, practical skills, and confidence required to become a proficient Fabric Analytics Engineer Associate. The course equips you with the tools and expertise to design, implement, and manage end-to-end analytics solutions using Microsoft Fabric, Power BI, SQL, and KQL.

• Plan, implement, and manage comprehensive data analytics solutions in Microsoft Fabric, covering lakehouses, data warehouses, and eventhouses.
  
  

• Prepare, clean, and transform raw data to make it suitable for analysis, reporting, and visualization.
  
  

• Build and maintain robust semantic models in Power BI, incorporating advanced DAX calculations, calculation groups, and optimization techniques.
  
  

• Write SQL queries to interact with data in lakehouses and data warehouses efficiently, applying best practices for data manipulation.
  
  

• Use Kusto Query Language (KQL) to analyze, filter, aggregate, and transform event-based data in eventhouses.
  
  

• Apply analytics development best practices, including version control, deployment strategies, and lifecycle management, ensuring maintainable and scalable solutions.
  
  

• Prepare for and confidently attempt the DP-600 certification exam, understanding all the core concepts, tools, and methodologies.

Earning the DP-600 certification, officially titled "Microsoft Certified: Fabric Analytics Engineer Associate," demonstrates your advanced analytics expertise and strengthens your professional profile, opening doors to new opportunities in business intelligence and data analytics.

Student Feedback

Students who have completed this course have found it highly informative and practical:

Andrew shared, "I thoroughly enjoyed this course and learned a lot of valuable techniques. The concept of Calculation Groups was explained very clearly, and I now feel confident using it in my projects. I’ve also activated my Fabric 60-Day Trial to practice the exercises firsthand. The course was structured in a logical and easy-to-follow manner, which made learning enjoyable."

Saurabh said, "This course is exceptional. Phillip explains each concept in depth, with hands-on exercises and real-world practice. The advanced coverage of DAX, SQL, PySpark, and KQL sets this course apart. I plan to take the DP-600 exam in the next few days, and I feel well-prepared thanks to this training. Each video introduced new and practical skills."

Jerry commented, "Out of all the DP-600 courses I have tried, this one is the most concise, focused, and practical. The content is clear and avoids unnecessary filler. After completing this course, I successfully achieved my certification. Highly recommended for anyone aiming to pass the DP-600."

Course Features

This course includes:

• Step-by-step tutorials and demonstrations for Power BI, Fabric, SQL, and KQL.
  
  

• Practical exercises and hands-on labs for real-world experience.
  
  

• In-depth explanations of advanced DAX functions, SQL queries, and KQL scripts.
  
  

• Guidance on managing semantic models, implementing dynamic calculations, and optimizing performance.
  
  

• Insights into analytics development lifecycle, version control, and deployment strategies.
  
  

• Best practices for working with Fabric lakehouses, data warehouses, and eventhouses.

With these features, learners gain both theoretical knowledge and practical skills that can be applied directly to professional projects or exam preparation.

Learning Approach

The course adopts a practical, hands-on approach to learning. Each section includes step-by-step guidance, demonstrations, and exercises that allow you to apply your knowledge in real scenarios. By following this approach, you will:

• Gain practical experience in creating, managing, and optimizing data analytics solutions.
  
  

• Develop proficiency in advanced DAX, SQL, and KQL for real-world data manipulation and analysis.
  
  

• Learn to troubleshoot issues and implement best practices in data modeling, querying, and reporting.
  
  

• Build a portfolio of exercises and projects that showcase your skills to potential employers or clients.

The combination of theoretical explanations and practical exercises ensures that learners can immediately apply what they learn in professional contexts.

Who This Course is For

This course is designed for a wide range of learners, including:

• Data analysts looking to expand their skills in Power BI and Microsoft Fabric.
  
  

• Professionals who want to develop expertise in building, managing, and analyzing data in lakehouses, data warehouses, and eventhouses.
  
  

• Individuals preparing for the DP-600 certification exam.
  
  

• Anyone aiming to become a Fabric Analytics Engineer and seeking practical, hands-on experience with advanced DAX, SQL, and KQL techniques.

Whether you are just starting with Microsoft Fabric or looking to advance your existing knowledge, this course provides a structured, practical learning path to help you succeed.

Course Benefits

Completing this course provides a wide range of benefits for both aspiring and experienced data professionals. You will gain not only theoretical knowledge but also practical skills that are directly applicable in real-world business scenarios. By the end of this course, you will be able to confidently work with Power BI, Microsoft Fabric lakehouses, data warehouses, and eventhouses, enabling you to deliver advanced analytics solutions efficiently and accurately.

Some of the key benefits of this course include:

• Gain advanced expertise in Power BI, including modeling data, creating dynamic DAX formulas, and implementing semantic models.
  
  

• Learn how to ingest, transform, and prepare data for analysis using dataflows, pipelines, and other Fabric tools.
  
  

• Develop the ability to design, implement, and manage lakehouses, data warehouses, and eventhouses using SQL and KQL.
  
  

• Improve analytical thinking and problem-solving skills by exploring, analyzing, and visualizing data effectively.
  
  

• Master advanced querying techniques, including filtering, aggregation, joining, and handling duplicates or missing data.
  
  

• Learn best practices for data analytics project lifecycle management, including version control, deployment, and optimization.
  
  

• Enhance career prospects by gaining practical, hands-on experience that aligns with the DP-600 certification exam requirements.
  
  

• Strengthen your professional profile with the “Microsoft Certified: Fabric Analytics Engineer Associate” credential.
  
  

• Build confidence in working with large datasets, managing relationships, and creating scalable analytics solutions.
  
  

• Gain exposure to real-world scenarios, allowing you to implement what you learn immediately in your job or projects.

Overall, this course equips you with the knowledge, tools, and skills to become a proficient Fabric Analytics Engineer, making you highly valuable to employers seeking advanced data analytics expertise.

Enroll Today

Take the next step in your data analytics journey by enrolling in this comprehensive Fabric Analytics Engineer Associate course today. Whether you are an experienced data professional looking to expand your skills or a Power BI user aiming for advanced analytics expertise, this course will provide you with the knowledge and hands-on experience needed to succeed.

By enrolling, you will gain access to in-depth lessons covering advanced DAX functions, SQL and KQL querying, lakehouses, data warehouses, and eventhouses. You will also receive practical exercises that allow you to implement analytics solutions in real-world scenarios. The course is designed to prepare you for the DP-600 certification exam while providing skills that are highly valued in today’s data-driven workplaces.

Start building your expertise in Microsoft Fabric, enhance your career prospects, and gain the confidence to handle complex analytics projects. Don’t wait—enroll today and begin your journey toward becoming a certified Fabric Analytics Engineer Associate.