MongoDB
While studying for and becoming a MongoDB Certified Developer, I did a lot of writing - here's some topics!
Aggregations
Offloading complex data-aggregation logic from the an api that consumes mongo directly to the db with tools like matching, projecting, grouping, unwinding arrays, looping up content between collections, facets, and more
Comparing Mongo To SQL
I Wonder That A Comparison to SQL Might Sometimes "Miss The Point"
CRUD
Creating, Reading, Updating and Deleting Data
Data Modeling
Consider the ways that data is stored within and across documents
Performance
Optimizing queries with indexes & various index types, Leveraging Indexes in queries, query planning, understanding query execution statistics, benchmark testing the db & more
Replication
Cloning MongoDB Instances for High Availability
Users and Roles
Admins, DB users, Custer Admins, Backup users, etc.
Sharding
Horizontal Scaling by splitting collections
With Docker
Running the mongodb instance in a container is great for replicating db development environments for multiple developers
Storage Engines
how data is stored on disk, primarily through wiredTiger