DP-600T00: Microsoft Fabric Analytics Engineer Course Overview

DP-600T00: Microsoft Fabric Analytics Engineer Course Overview

The DP-600: Microsoft Fabric Analytics Engineer course is designed to provide learners with comprehensive knowledge and hands-on experience in end-to-end analytics using Microsoft Fabric. The course covers a wide range of topics, from introduction to analytics to administering Microsoft Fabric, data ingestion, and data management. Learners will gain practical skills in using Dataflows Gen2, Spark, Data Factory pipelines, and managing lakehouses within Microsoft Fabric.

Throughout the modules, participants will learn about organizing data using the medallion architecture design, working with Apache Spark, Delta Lake tables, and securing their data environments. The course also delves into data warehousing, teaching how to load, query, monitor, optimize, and model data warehouses. Moreover, it addresses scalability in Power BI, creating model relationships, performance optimization tools, and enforcing model security. This extensive training is crucial for those looking to excel in managing and analyzing data with Microsoft's analytics tools.

Purchase This Course


  • Live Online Training (Duration : 32 Hours)
  • Per Participant
  • Including Official Coursebook
  • Guaranteed-to-Run (GTR)
  • date-img
  • date-img

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

  • Live Online Training (Duration : 32 Hours)
  • Per Participant
  • Including Official Coursebook

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings


1-on-1 Training

Schedule personalized sessions based upon your availability.


Customized Training

Tailor your learning experience. Dive deeper in topics of greater interest to you.


4-Hour Sessions

Optimize learning with Koenig's 4-hour sessions, balancing knowledge retention and time constraints.


Free Demo Class

Join our training with confidence. Attend a free demo class to experience our expert trainers and get all your queries answered.

Winner of the Microsoft’s Asia Superstar Campaign in FY 22

Course Prerequisites

To ensure that you can successfully undertake the DP-600: Microsoft Fabric Analytics Engineer course, here are the minimum required prerequisites:

  • Basic understanding of data analytics concepts including data processing, data storage, and data visualization.
  • Familiarity with cloud computing fundamentals, particularly Microsoft Azure services.
  • Experience with SQL and relational databases, as well as the ability to write basic SQL queries.
  • An introductory knowledge of big data technologies such as Apache Spark and Delta Lake is beneficial but not mandatory.
  • Some exposure to data integration and ETL (Extract, Transform, Load) processes.
  • Basic comprehension of data warehousing concepts and the purpose they serve within analytics.
  • Awareness of data security and governance principles.
  • Experience with Power BI or other data visualization tools for creating reports and dashboards is helpful.
  • Eagerness to learn and adapt to new tools and technologies within the Microsoft analytics ecosystem.

Please note that while prior experience in these areas will be highly advantageous, a strong willingness to learn and a commitment to the training process can often compensate for gaps in technical background. Our course is designed to guide you through the necessary concepts and practices to become proficient in Microsoft Fabric analytics.

Target Audience for DP-600: Microsoft Fabric Analytics Engineer

The DP-600 course offers comprehensive training in Microsoft Fabric analytics, catering to IT professionals in data roles.

  • Data Engineers
  • Data Analysts
  • Data Architects
  • Data Scientists
  • Database Administrators
  • Business Intelligence Professionals
  • IT Managers overseeing data management teams
  • Cloud Solutions Architects focusing on data services
  • Data Security Analysts
  • Professionals aiming to learn about data warehousing and lakehouse architecture
  • Power BI Developers
  • Anyone seeking to specialize in Microsoft's data analytics tools and services

Learning Objectives - What you will Learn in this DP-600: Microsoft Fabric Analytics Engineer?

  1. This DP-600 course equips learners with end-to-end analytics skills on Microsoft Fabric, focusing on data ingestion, management, security, and optimization within the Microsoft ecosystem.

  2. Learning objectives and outcomes:

  • Understand the fundamentals of end-to-end analytics using Microsoft Fabric, enabling a holistic view of data analytics processes.
  • Learn to administer and manage Microsoft Fabric environments effectively, ensuring smooth operation and maintenance.
  • Master Dataflows Gen2 in Microsoft Fabric for efficient data ingestion and processing.
  • Gain proficiency in using Spark and Microsoft Fabric notebooks for data ingestion and exploratory data analysis.
  • Develop skills to create and manage Data Factory pipelines, enhancing data integration and workflow automation in Microsoft Fabric.
  • Get started with lakehouses in Microsoft Fabric, learning how to leverage them for combining the best elements of data lakes and data warehouses.
  • Organize a Fabric lakehouse using the medallion architecture design to optimize data storage and access patterns.
  • Employ Apache Spark within Microsoft Fabric for large-scale data processing.
  • Work with Delta Lake tables in Microsoft Fabric to ensure data reliability and improve performance for batch and streaming workloads.
  • Learn to secure your lakehouse and data warehouses within Microsoft Fabric, emphasizing data governance and compliance.
  • Understand scalability considerations in Power BI to manage growing data and user demands.
  • Create and manage Power BI model relationships to facilitate complex data analysis and reporting.
  • Utilize tools and techniques to optimize Power BI performance, ensuring efficient data visualization experiences.
  • Enforce Power BI model security to protect sensitive data and maintain integrity across reports and dashboards.