How We Built Data Retention for SendRec

📰 Dev.to · Alex Neamtu

Learn how to build data retention for large video datasets like SendRec's, handling massive video recording accumulation

intermediate Published 5 Mar 2026
Action Steps
  1. Design a data retention policy to handle large video datasets
  2. Implement a data storage solution using cloud-based services like AWS S3
  3. Develop a data pruning mechanism to remove unnecessary recordings
  4. Configure data backup and archiving processes
  5. Test and optimize the data retention system for performance and scalability
Who Needs to Know This

Data engineers and software developers on a team like SendRec's can benefit from this knowledge to design and implement efficient data retention systems

Key Insight

💡 Implementing a data retention policy and pruning mechanism can help manage massive video recording accumulation

Share This
💡 Build efficient data retention for large video datasets like SendRec's!

Full Article

Video recordings accumulate. A team of ten recording three videos a day produces over 800 recordings...
Read full article → ← Back to Reads

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