Summing Up How to Build Great R Shiny Appsĭatabase Setup, Connection, and Data Import.Preparing Data in Advance – A Must If You Want to Build Great R Shiny Apps.Database Normalization – From Theory to Implementation.Database Indexes – Build Great R Shiny Apps By Speeding up Your Queries up to 5000 Times.
Database Setup, Connection, and Data Import.Looking to build a production-ready Shiny app? Try Rhino – An R package from Appsilon. There’s even a section on preparing your data in advance, so the resulting Shiny app doesn’t have to implement complex SQL statements. We’ll first provision a free Postgres database on AWS, import some data, and then work extensively on this issue. Today you’ll learn how to build great R Shiny apps by solving the most common slow database problem – indexes and normalization.
Data retrieval and database communication in general become an issue, and it has nothing to do with R Shiny. Is your R Shiny app slow, but you doubt Shiny itself is the bottleneck? This is a likely scenario, especially if you’re given a slow database with no indexes or normalization.
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