Connecting to apollo cloud how to#

Note we are not going to cover what each of the graphQL syntax means. You dashboard only needs to connect to your apollo-server and gets data from the different APIs as well as your database.

Additionally, you could access different APIs from your favourite data sources. You could maintain a database that gives you some data, apollo letвЂ™s you access it as you will see in this tutorial. Apollo Servers with GraphQL are really nice to combine information from various resources. For example, you could create a dashboard which displays some data which is served by your graphQL API that is served from an apollo-server (that youвЂ™ve created) which accesses a database (that you control) in the background.

Connecting to apollo cloud how to#

If you follow this tutorial from start to finish you will learn how to organise a backend for your own data science project yourself. Also deploying the server instance to the cloud will be covered step by step. To make our small tutorial real-world applicable we are going to deploy an apollo-server instance to the cloud with heroku. We will create that cluster together, donвЂ™t worry if you havenвЂ™t done that before. Moreover, to make data persistent we connect to a mongoDB cluster in the cloud. Additionally, we will write some resolver functions. We will create a GraphQL schema, define a query and three different mutations. We focus in this tutorial more on the infrastructure side this will include the following steps. If you wanted to have backend skills that make your data science skills more publicly available via an API then here is a further outlook what we will create in this tutorial. This tutorial is intended for people that know some data science skills like visualising, analysing data, or even applying machine-learning models but that have not prior experience with the creation of an API which connects to a persistent database. Photo by Douglas Lopes on Unsplash What you can expect