Data Analysis with Python

Architecture for operationalizing data science analytics

In the previous section, we saw how PixieApps combined with the PixieDust display framework offer an easy way to build powerful dashboards that connect directly with your data analytics, allowing for rapid iterations between the algorithms and the user interface. This is great for rapid prototyping, but Notebooks are not suitable to be used in a production environment where the target persona is the line of business user. One obvious solution would be to rewrite the PixieApp using a traditional three tiers web application architecture, for example, as follows:

• React (https://reactjs.org) for the presentation layer
• Node.js for the web layer
• A data access library targeted at the web analytics ...