Efficiently polling remote data sources


 

Data rarely resides in one place. Oftentimes, there is a need to collect data from many different data sources and combine them locally into meaningful reports, analytics, or tables. The process for accessing, collecting, validating, and using data from remote data sources requires the same level of design and architectural considerations as building data structures for a software application.

In this article, methods of accessing remote data will be introduced with the goal of presenting best practices and ways to optimize load processes. This will lead into a discussion of performance and how to avoid the latency often associated with