Data integration architectures – batch, micro-batching, real-time, and incremental
When diving deeper into the world of data integration, it is critical to comprehend the many data integration designs available. Each architecture type has benefits and drawbacks that make it better suited for specific scenarios and use cases. We’ll go over four possible data integration architectures in this section: batch, micro-batching, real-time, and incremental.
These designs can be thought of as the foundation of your data integration process. They govern how data is exchanged and processed between systems, and they have a large impact on the overall performance, scalability, and maintainability of any data integration solution. It is critical to select the appropriate architecture for your specific requirements since this will have a direct impact on the efficiency and efficacy of your integration efforts:
- Batch data integration is the process of grouping data into sets...
