Task Automation Framework for Data Management - TechTalk

TL;DR

Microsoft introduces a task automation framework in Dynamics 365 for Finance and Operations to streamline data management tasks.

Transcript

hello and welcome to today's partner Web Conference this is Fast Track Dynamics 365 for finance and operations Enterprise Edition Tech talk today's topic task automation framework for data management presenting for us today from Microsoft we have senior r d solution architect Sunil Garg so without any further delay Daniel the floor is all yours goo... Read More

Key Insights

• 😤 The task automation framework simplifies data project creation and recurring schedule configuration, reducing manual effort for implementation teams.
• 📦 It enables the easy importing of data packages, including demo data setup, golden configuration data packages, and data migration scenarios.
• ❓ The framework facilitates automated testing and validation of data entities and integration scenarios, improving overall efficiency.
• 📦 Validations for data packages and entity behaviors remain a challenge, and Microsoft is actively seeking feedback to improve the validation capabilities.
• 🏛️ The framework is built into Dynamics 365 for Finance and Operations, making it easily accessible without the need for separate downloads or tools.
• 👨‍💻 The low code/no code concept allows even functional consultants to define tasks without writing code, increasing usability and agility.
• ❓ Data management tasks can be seamlessly integrated into the development, configuration, and validation process, improving overall ALM (Application Lifecycle Management).
• 📁 The framework supports loading manifests from the file system and LCS, enabling efficient configuration management.

Questions & Answers

Q: How does the task automation framework simplify data project creation?

The framework automates data project creation, reducing the need for manual efforts, especially for large projects with numerous data projects. It eliminates the lack of tools and configuration management challenges faced by implementation teams.

Q: What are the various scenarios for importing data packages?

The framework allows for the import of data packages for demo data setup, golden configuration data packages for newly deployed systems, and data migration scenarios. It provides flexibility in choosing the appropriate data package for different scenarios.

Q: How does the task automation framework assist in data entity testing and integration validation?

The framework enables the automation of data entity testing and validation of integration scenarios, eliminating the need for manual testing. It streamlines validation processes and reduces turnaround time for implementation teams.

Q: Can the task automation framework be used in production environments?

While the framework can be used in production environments, caution should be exercised, especially when using recurring import/export functionalities. It is primarily designed for test automation and validation purposes.

Key Insights:

• The task automation framework simplifies data project creation and recurring schedule configuration, reducing manual effort for implementation teams.
• It enables the easy importing of data packages, including demo data setup, golden configuration data packages, and data migration scenarios.
• The framework facilitates automated testing and validation of data entities and integration scenarios, improving overall efficiency.
• Validations for data packages and entity behaviors remain a challenge, and Microsoft is actively seeking feedback to improve the validation capabilities.
• The framework is built into Dynamics 365 for Finance and Operations, making it easily accessible without the need for separate downloads or tools.
• The low code/no code concept allows even functional consultants to define tasks without writing code, increasing usability and agility.
• Data management tasks can be seamlessly integrated into the development, configuration, and validation process, improving overall ALM (Application Lifecycle Management).
• The framework supports loading manifests from the file system and LCS, enabling efficient configuration management.
• Rich validations and trace parsing functionalities are currently under development to improve the framework's validation and troubleshooting capabilities.

Summary & Key Takeaways

• The task automation framework aims to simplify data project creation and recurring schedule configuration by automating these tasks, reducing manual effort.

• The framework allows for easy importing of data packages, including demo data setup, golden configuration data packages, and data migration scenarios.

• It also facilitates the automation of data entity testing and integration scenarios, improving overall efficiency and turnaround time.