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With the advent of various businesses heavily dependent on numerous information systems or applications, which are now paramount for business processes, data synchronization has become a critical component in integration architecture. As businesses grow and new systems are adopted, the need for better flows between systems, to ensure operational efficiency, data consistency, and real-time decision making, becomes important.
Data synchronization is the process of ensuring that two or more locations of a data set are updated with the same quality, by synchronizing the information from the multiple data sources, and making sure that any updates, deletions, or additions to the data in one location are reflected in all others.
What is Data Synchronization in Integration Architectures?
Data synchronization is the process of ensuring that data stored on multiple systems (cloud based application, on-premise database, or third-party software) is consistent and up to date in all locations.
In modern integration architectures, synchronization is the linking and interconnection of systems and the data flow between them using one or more APIs and middleware. Synchronization can occur synchronously in real-time or asynchronously in batch mode, thus allowing data from one application to be used by multiple applications.
For example, an e-commerce store may have several IT systems supporting various departments, such as an inventory system, a customer relationship management system, and a financial system. These departments need to be kept informed about any changes and updates in a timely and efficient manner. For example, when a customer makes an order, the inventory and financial systems need to be updated and customer records saved.