mongodb
In our previous post on Data Modeling for Mongo, we discussed the process of creating classes to provide a schema to an otherwise schemaless database so that users are able to know about the structure of data in the database and provide helper functions to classes which would allow for
mongodb
This is a follow on article to our previous article on running your own MongoDB instance on docker. Once you have a docker instance up, try using and extending some of these examples to write data into your running Mongo Database. Data modeling is an important aspect of working with
docker
In this article we explore using MongoDB with Docker. MongoDB is a schemaless database, meaning that arbitrary json documents are stored instead of using some sort of structured table format. Using MongoDB is a fast way to prototype new ideas without needing to do a lot of database setup, including