These are some typical data management scenarios a project goes through. Let's explore the tools and processes to use in each scenario.
Data management scenarios
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 scenarios
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