First, let's understand the various concepts that are used within the data management framework, since it forms the core element that is used in any data-related activity.
Data management concepts
by JJ Yadav,
Sandeep Shukla,
Rahul Mohta,
Implementing Microsoft Dynamics 365 for Finance and Operations Apps - Second Edition
- Title Page
- Copyright and Credits
- Dedication
- About Packt
- Contributors
- Preface
- Introduction to Dynamics 365 Finance and Operations
- Methodology and Initiation
- Lifecycle Services (LCS) and Tools
- Architecture, Deployment, and Environments
- Understanding architecture
- Understanding application components and architecture
- Working with identity management 
- Understanding the data layer components
- Understanding the platform-layer components 
- Understanding the application layer components
- Understanding the client components
- Using LCS
- Understanding development architecture 
- Understanding integration architecture
- Understanding security architecture
- Understanding deployment options
- Understanding cloud deployment and environment planning
- Summary
- Requirements and Process Analysis
- Requirements scoping
- Hierarchy of business processes and subprocesses 
- LCS BPM and Azure DevOps
- Understanding Microsoft Azure DevOps
- Requirement-gathering techniques
- Requirements Traceability Matrix (RTM)
- Requirement segmentation and ownership
- Analysis of requirements
- Solution blueprint
- Key decision log
- Best practices in managing requirements
- Summary
- Configuration and Data Management
- Explaining configuration management 
- Managing data migration
- Introducing data management tools
- The data management framework
- Database operations
- Cross-company data sharing 
- Data management scenarios
- Best practices in managing configurations and data migration
- Summary
- Solution Planning and Design
- Integration Technologies, Planning, and Design
- Basic web integration concepts
- Learning about the integration architecture
- Integration concepts in Finance and Operations
- Integration scenarios and planning
- Integration design and development
- Best practices and recommendations
- Summary
- Customization and Extension
- Understanding solution architecture and development concepts
- Understanding the development environment
- Development planning
- Development process 
- Build and continuous updates
- Guidelines and best practices
- Summary
- Analytics, Business Intelligence, and Reporting
- Gathering reporting and analytics requirements
- Reporting scenarios and tools
- Analytics data strategy and data integrations
- Moving from relational databases to Azure Data Lake
- Best practices in analytics and information insights
- Summary
- Testing and Training
- Managing Go-Live and Post Go-Live
- One Version Service Updates
- Other Books You May Enjoy
Data management concepts
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