Dynamics 365 Architect

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Job title: Dynamics 365 Architect

Location: Fully remote

Duration: Short term contract

JD

Problem Statement: Increasing the storage capacity of a Dynamics 365 (D365) environment presents several challenges that can impact both operational efficiency and financial sustainability. The primary issues include:

1. High Costs: The expense associated with additional storage is substantial, with increased database storage cost. This can lead to significant financial strain, especially for large organizations with extensive data requirements.
2. Performance Degradation: As the database size increases, system performance may suffer. Larger databases can result in slower query times and reduced overall efficiency, affecting user experience and productivity.
3. Complex Data Management: Managing a larger volume of data necessitates more robust data governance and cleanup strategies. The accumulation of unused and redundant data complicates efforts to maintain an optimized and efficient database.
4. Backup to Lower Environments: Backing up data to lower environments (such as sandbox or development environments) can be challenging. This process involves copying configurations and data from production to a lower environment, which can be time-consuming and complex .
5. Extended Backup and Recovery Times: Larger databases require more time and resources for backup and recovery processes, potentially impacting system availability and disaster recovery plans.

Possible Solutions: Reducing the database size in Dynamics 365 (D365) can be achieved through several strategies. Here are some effective methods:

1. Data Archiving: Move older, less frequently accessed data to an archive. This helps in keeping the active database lean and efficient.
2. Data Cleanup: Regularly delete unnecessary records, such as old logs, temporary files, and unused data. Ensure you have a backup before performing deletions.
3. Optimize Storage: Use compression techniques for large data sets and files. This can significantly reduce the storage footprint.
4. Review Customizations: Evaluate custom entities and fields. Remove or consolidate those that are no longer needed.
5. Index Management: Regularly update and optimize indexes to improve query performance and reduce database size.
6. Data Retention Policies: Implement policies to automatically purge data after a certain period.
7. Use Azure Storage: For large files and attachments, consider using Azure Blob Storage instead of storing them directly in the D365 database

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Gaurav Sharma

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