The data model in finance and operations apps consists of tables, views, queries, and other components. These components are important in development. All data in finance and operations apps is stored in tables and managed in the data model in Visual Studio. Tables store data such as company transactions, inventory, and journals.

Building data pipelines with Delta Live Tables enables real-time, scalable, and reliable data processing using Delta Lake's advanced features in Azure Databricks

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Use TensorFlow to build and tune deep learning models.

Use TensorFlow to build and tune deep learning models.

Use TensorFlow to build and tune deep learning models.

Use TensorFlow to build and tune deep learning models.

Learn how to build observable, production ready, distributed applications with .NET Aspire.

Learn to develop e-commerce applications using Spring Boot and reactive programming principles for better performance and responsiveness.

Extended data types (EDTs) and base enumerations (enums) are data types that are created and managed in the development environment. Base enums represent a list of literals, while EDTs are reusable data types that have a specific definition. The Application Object Tree (AOT) in finance and operations apps contains many existing EDTs and base enums that can be extended for use in your project, or you can create new data types. This module will focus on creating new data types.

Developing in finance and operations apps requires a basic understanding of the tasks required to build new elements and customize finance and operations apps. The tasks include understanding X++ code and Visual Studio, as well as being able to create and modify the basic elements of the system.

In this module, you'll deploy resources only when specific constraints are in place and use loops to deploy multiple resources that have similar properties.