How do you handle Large Data Volumes (LDV) in Salesforce?

 When dealing with millions of records, performance and scalability become crucial. Here are the best practices to efficiently manage Large Data Volumes (LDV) in Salesforce:

1️.Indexes & Skinny Tables – Use standard/custom indexes & skinny tables to optimize queries.

2️.Selective SOQL Queries – Filter records using indexed fields to avoid full table scans.

3️.Asynchronous Processing – Use Batch Apex, Queueable Apex, and Future Methods to handle bulk operations.

4️.Data Archiving – Move old data to Big Objects or external storage to improve performance.

5️.Bulk Data Processing – Utilize Bulk API, Data Loader, or ETL tools for efficient record management.

6️.Avoid Triggers on Bulk Operations – Always bulkify triggers & minimize DML operations inside loops.

7️.Use Composite API – Reduce API callouts by grouping multiple requests into one.

8️.Dividing Data by Ownership – Implement Divisional Sharing, Role Hierarchies, or Territory Management to optimize access control.

🔹 Additional Best Practices:

✅ Use Field History Tracking Efficiently – Track only necessary fields to avoid storage overhead.

✅ Optimize Reports & Dashboards – Apply filters on indexed fields to improve performance.

✅ Leverage External Objects (Salesforce Connect) – Store non-essential data externally & access via External Objects.