If the dataset you want to analyze with pandas is coming from a normalized relational database, then you can use ‘pandas.read_sql‘ to pull the data directly. In this article, we will deploy a small MariaDB instance with Docker and show how we can create DataFrame directly from a single table or from a join between … Python: constructing a DataFrame from a relational database with pandas
If your data is coming from CSV dumps of relational database tables, then you probably need to flatten the data before starting the training or analysis. It requires an understanding of the relational schema so you can specify the foreign key lookups, but from that pandas can reconstruct the relationships and produce a single flattened … Python: flattening exported csv relational data with pandas
Cloud Foundry is an opinionated Platform-as-a-Service that allows you to manage applications at scale. This article is part of a series that explores different facets of a Cloud Foundry deployment using the spring-music project as an example. This article is Part 2 of a series on Cloud Foundry concepts: Deploying the spring-music webapp, Part 1 Persisting … CloudFoundry: Persisting spring-music data using Postgres service, Part 2