Data Synchronization
Data synchronization is the process of keeping data consistent across multiple devices, applications, and sources. It's an ongoing process that ensures new and historical data is consistent.
Data synchronization is important because it prevents discrepancies in data, which can make it difficult to make data-driven decisions. Inconsistent data can lead to financial and legal issues for a company.
Here are some ways to synchronize data:
- Custom coding: Developers use custom code to sync data
- Native integrations: Use an application's pre-built integration with another application
- Robotic process automation (RPA) software: Use RPA software to synchronize data
- Integration platform as a service (iPaaS): Use an iPaaS to synchronize data
Some data synchronization methods include:
Batch synchronization
Collect data changes over a period of time and synchronize them across systems at a predetermined time
Real-time synchronization
Ensure data is accurate and reflects the latest changes in real-time or near-real-time
File synchronization
Used for home backups, updating portable data, or using external hard drives
Version control
Provides sync solutions for files that multiple users can alter simultaneously
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