Mastering Microsoft Dynamics 365 Business Central
Discover extension development best practices, build advanced ERP integrations, and use DevOps tools
BIRMINGHAM - MUMBAI
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: Dynamics 365 Business Central - Platform Overview and the Basics of Modern Development
- Microsoft Dynamics 365 Business Central Overview
- Mastering a Modern Development Environment
- Online and Container-Based Sandboxes
- Creating online sandboxes
- Introducing Docker
- Locally available environments using pure Docker commands
- Connecting to an existing SQL Server
- Handling your running containers with Docker cmdlets
- Creating locally available environments using navcontainerhelper
- Pulling new image versions
- Handling your running containers with NavContainerHelper
- Centrally available on-premise environments
- Containers hosted on Azure VMs
- Choosing the right image
- Summary
- Section 2: Developing Extensions for Dynamics 365 Business Central
- Extension Development Fundamentals
- Developing a Customized Solution for Dynamics 365 Business Central
- Advanced AL Development
- Understanding immutable keys
- Handling files with AL
- Handling attachments
- Reading and writing text data to and from BLOB fields
- Using XMLports in AL code
- Creating and extending Role Centers
- Handling XML and JSON files with the AL language
- Consuming web services and APIs from AL
- Publishing Dynamics 365 Business Central objects as web services from AL
- Using Azure Functions to replace .NET code
- Understanding Isolated Storage
- Working with control add-ins
- Notifications inside Dynamics 365 Business Central
- Understanding page background tasks
- Summary
- Report Development with AL
- Anatomy of the AL report object
- Tools to use for Word and RDL layouts
- RDL and Word layout features
- Converting an existing C/AL report into AL
- Feature limitation when developing an RDL or Word layout report
- Understanding report performance considerations
- Summary
- Section 3: Debugging, Testing, and Release Management (DevOps)
- Installing and Upgrading Extensions
- Debugging
- Automated Test Development with AL
- Test automation and testing design principles
- Designing tests with ATDD
- Preparing the environment
- Setting up test development for extensions
- Learning about the technique behind test code
- Designing our test scenarios
- Implementing our test scenarios
- Test codeunit and test function – test example 1
- asserterror – test example 2
- Test page – test example 3
- UI handler – test example 4
- Creating a test codeunit
- Embedding and writing
- Constructing the real code
- CreatePacktSetupWithGiftToleranceQty
- The CreateCustomerWithNonBlockedCustomerCategoryWithFreeGiftsAvailable helper function
- CreateItem
- CreateGiftCampaignForItemAndCustomerCategoryWithMinimumOrderQuantity
- CreateSalesInvoiceForCustomerWithLineForItem
- SetQuantityOnInvoiceLineSmallerThanMinimumOrderQuantityAndWithinGiftToleranceQty
- Running the test
- Summary
- Source Control Management and DevOps with Business Central
- Understanding Azure DevOps and what it offers
- Managing tasks, sprints, and boards in Azure DevOps
- Creating a repository for your code
- Managing repositories
- Branching policies
- Branching strategies
- Understanding Git merge strategies
- Exploring Git with Visual Studio Code
- Understanding Azure DevOps Pipelines
- Understanding the YAML pipeline
- Summary
- Section 4: Advanced Integrations with Dynamics 365 Business Central
- Dynamics 365 Business Central APIs
- Comparing OData and APIs in Dynamics 365 Business Central
- Using Dynamics 365 Business Central standard APIs
- Creating a custom API in Dynamics 365 Business Central
- Creating an application that uses Dynamics 365 Business Central APIs
- Using bound actions
- Using Dynamics 365 Business Central webhooks
- Working with Dynamics 365 Business Central APIs in Microsoft Graph
- Automation APIs in Dynamics 365 Business Central
- Summary
- Serverless Business Processes with Business Central and Azure
- Technical requirements
- Overview of Microsoft Azure serverless services
- Getting an overview of Azure Functions
- Developing an Azure function with Visual Studio
- Developing an Azure function with Visual Studio Code
- Calling an Azure function from AL
- Interacting with Azure Blob Storage to handle files in the cloud
- Summary
- Monitoring, Scaling, and CI/CD with Azure Functions
- Business Central and Integration with the Power Platform
- Section 5: Moving Solutions to the New Extension Model
- Integrating Machine Learning into Dynamics 365 Business Central
- What are AI and ML?
- An overview of the ML process
- Understanding the Business Central ML Framework
- Understanding the ML Prediction API
- Step 1 – Publishing a general prediction model as a web service from a public template
- Step 2 – Training the ML model from AL
- Step 3 – Predicting using the trained model
- Step 4 – Getting insights into how ML works
- Step 5 – Publishing and running the forecast
- Summary
- Moving Existing ISV Solutions to the New Extension Model
- Useful and Proficient Tools for AL Developers
- Other Books You May Enjoy
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