Perhaps one of the most important elements of any implementation leveraging data is the actual modeling of the data itself. Data is only useful when it’s understood and contextualized – when it’s ultimately either shared or made into information. Failing to actually model this data in an understandable way is damaging, and can seriously hamper any effort to develop a product. Read more
GraphQL is indeed an attractive data API for applications (and people). However, even if you know the basics of GraphQL, you may run into issues about getting the API data structures right and in prettifying the data content to make it business friendly. Read more
In many ways, GraphQL is a futuristic approach to dealing with all the headaches surrounding high-data transfer, large-volume relational content. As more is written about the technology and as its implementation is discussed, it goes without saying that related components are becoming increasingly more interesting as well. Read more
