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
Action Steps
- Design a data retention policy to handle large video datasets
- Implement a data storage solution using cloud-based services like AWS S3
- Develop a data pruning mechanism to remove unnecessary recordings
- Configure data backup and archiving processes
- 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...
DeepCamp AI