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Microsoft Fabric Analytics Engineer Associate Study Guide
book

Microsoft Fabric Analytics Engineer Associate Study Guide

by Brian Bønk, Valerie Junk
February 2026
Intermediate to advanced
390 pages
10h 23m
English
O'Reilly Media, Inc.
Content preview from Microsoft Fabric Analytics Engineer Associate Study Guide

Chapter 2. Getting Data

No analytics platform works without data. In this chapter, you’ll learn how to ingest data by using various methods directly in the Fabric environment.

First, we’ll guide you through the entry points in the Fabric portal, where you’ll work with existing and new data connections. Next, we’ll dive into the processes of creating new connections in different ways by using both the Power BI Desktop and the Fabric portal. Then, we’ll guide you through the three data storing services: the lakehouse, warehouse, and eventhouse. Making the choice among these three can seem cumbersome and difficult, but we’ll help you understand them so you can choose the correct place to store your data. To wrap up the chapter, we’ll show you how to set up integration between OneLake and the eventhouse and connect this data with the semantic models in your data estate. We’ll also cover the OneLake service, where you store all your data (with a single exception; more on that later), and we’ll show you how to use, share, and reuse data from a centralized place.

Discovering Data with the OneLake Catalog and Real-Time Hub

In Microsoft Fabric, you have two entryways into a high-level view of your data estate: the OneLake catalog and the Real-Time hub, which have different uses.

The OneLake catalog gives you insights into the data that resides in the OneLake, but only the data you have access to. Even though there may be more data in the OneLake as an entire Fabric service, you, as the ...

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Publisher Resources

ISBN: 9798341634800Errata Page