MongoDB and pymongo can help you simplify your schema. This makes a huge difference when you are working with nested data structures. You can quickly and easily add data without the need to create a maze of tables to navigate in a traditional relational SQL database.

MongoDB and pymongo are great tools. The lack of a set schema is fantastic but can create problems when you don’t have strict rules in place to check data types. This is a fundamental benefit and limitation of this document database. We’ll use an ORM (mongoengine) to move ...

MongoDB has been on the rise for a long time. For those looking to get started in the NoSQL world, this is a hands-on tutorial for ETL using Python (pymongo). In this post, the very basics are covered. Later on, we’ll put more pieces of the puzzle into place.