Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)
No Travel Required
Skills
Dynamics 365
D365
Architect
Backup
Azure
Data Archive
Data Retention
Job Details
Job title: Dynamics 365 Architect
Location: Fully remote
Duration: Short term contract
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:
- 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.
- 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.
- 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.
- 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 .
- 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:
- Data Archiving: Move older, less frequently accessed data to an archive. This helps in keeping the active database lean and efficient.
- Data Cleanup: Regularly delete unnecessary records, such as old logs, temporary files, and unused data. Ensure you have a backup before performing deletions.
- Optimize Storage: Use compression techniques for large data sets and files. This can significantly reduce the storage footprint.
- Review Customizations: Evaluate custom entities and fields. Remove or consolidate those that are no longer needed.
- Index Management: Regularly update and optimize indexes to improve query performance and reduce database size.
- Data Retention Policies: Implement policies to automatically purge data after a certain period.
- 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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