Key Considerations for Data Service Best Practices
When thinking about the complexities of data engineering, you may want to grab hold of a compelling metaphor in your mind as you dive into the details. Your goal is to press the processed information and derived knowledge out of the raw data so that you give the consumer the ability to glean new insights. It’s necessary that you create effective data services with today’s technologies and prepare to handle future technology innovation as it arises. Data services insulate data and information from the consumer. The consumer could be a subsequent processing step in a data factory’s data flow, an algorithm, or an external data analyst. Collecting curated data can be thought of as a multifaceted diamond.
The processed diamond speaks to both its inherent value and the complex craftsmanship required to unlock its potential. This craftsmanship, essential to the data service design, demands more than just an appreciation...
