As more and more apps move to a cloud infrastructure, it becomes difficult to ascertain important information like data acquisition and placement. Tech Target brought this news to us in their article, “How the cloud complicates the data processing pipeline.”
Cloud services have given application developers and IT architects an unprecedented level of choice and flexibility when planning a system’s information architecture and data placement. However, this also means the same data must often be reprocessed, formatted, and sent to a variety of destinations.
Since the cloud is home to third-party data sources that are also used as data input, this makes the flow of data processing a challenge to say the least.
To give you a better visual image of this challenge, imagine the data processing pipeline for applications is an hourglass with many different sources funneling into a processing engine that feeds many different outputs. Therein lies the problem that needs a solution.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.