Chapter 10: Delta for Data Products and Services

"At the heart of every product person, there's a desire to make someone's life easier or simpler. If we listen to the customer and give them what they need, they'll reciprocate with love and loyalty to your brand."

– Francis Brown, Product Development Manager at Alaska Airlines

In the previous chapters, we saw how Delta helps not only with data engineering tasks but also with machine learning (ML) tasks because data is the core of all ML initiatives. Data as a Service (DaaS) refers to data products being made available to users on demand. The popularity of microservices and APIs has facilitated access to data on a need and privilege basis. These users can be within the organization or outside vendors and partners. The advantage is that the consumption pattern is greatly simplified and standardized and the internal complexities of pipelines and data stores are abstracted...