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Onboarding Guide Data Modeling

Preparing your data with SAP Data Warehouse Cloud ensures that it will be ready for use in reports and data Stories. In this module, you'll learn how to define your data structure using tools and features like the Data Builder, Semantic Layer, SQL modeling, and more.

What is Data Modeling?

Data modeling is the process of defining your data's structure and relationships. It's an important step in preparing data for analysis. Learn about data modeling and how it sets you up for success in SAP Data Warehouse Cloud.

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How to Model your Data with the Data Builder

The Data Builder is where you model your data using a set of integrated and simple graphical modeling tools.

What is the Business Catalog?

Using the Business Catalog you can navigate through all of the data models that are available for you to use. You'll also see a quick summary of what's included in each model.

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What is the Semantic Layer?

Business semantics is a consistent natural language vocabulary that makes it easy to understand your data. The Semantic Layer of SAP Data Warehouse Cloud applies your business semantics to all types of data, helping you to gain value faster.

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How to Create Attributes in the Semantic Layer

Are you ready to start using the Semantic Layer functionality? Learn how to add attributes to your business properties.

How to Add Business Information to a Data Set

Business information helps you to share details about each data set that may be useful to your team. We'll show you how to add business information to your data models.

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Deep Dive: What is SQL Modeling?

If you're used to working with SQL, SAP Data Warehouse Cloud offers SQL modeling capabilities out of the box. If you're not familiar with SQL, here's a quick rundown.

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