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We're here to help you find itDP-600: 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.
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To ensure that you can successfully undertake the DP-600: Microsoft Fabric Analytics Engineer course, here are the minimum required prerequisites:
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.
The DP-600 course offers comprehensive training in Microsoft Fabric analytics, catering to IT professionals in data roles.
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.
Learning objectives and outcomes: