Microsoft Fabric로 데이터 수집과 Semantic Model 다루기

In this chapter, you’ll explore data pipelines, storage solutions, and shortcuts in Microsoft Fabric, learning how to configure, automate, and manage data ingestion seamlessly.

This chapter provides a comprehensive introduction to Dataflows Gen 2, covering key concepts like data transformation, ingestion, scheduling, performance optimization, and choosing the right storage solutions for effective data management and processing.

In Chapter 3, we’ll dive into building and optimizing semantic models, including complex relationships like many-to-many and circular connections. You’ll learn report creation essentials, foundational DAX, and how to use measures and calculated columns, along with advanced techniques to enhance data performance and analysis in Power BI.

This chapter covers advanced Semantic Model topics like Row-Level and Object-Level Security. You'll also learn about a variety of tools that can help you use Semantic Models in Power BI more efficiently.