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NoSQL

Non-relational databases end to end: data models, storage engines, consistency, replication, sharding, transactions, and the main engines (MongoDB, Redis, DynamoDB, Cassandra, Neo4j).

NoSQL

What is NoSQL?

SQL vs NoSQL

Four main types of NoSQL

Document databases: basics

Key-value stores

Wide-column stores

Graph databases

ACID vs BASE

Schema-on-write vs schema-on-read

Terminology map

MongoDB vs PostgreSQL JSONB

Indexing in NoSQL

Consistency models

Read-your-writes, monotonic reads, causal

Schema design in NoSQL

Embedding vs referencing

MongoDB aggregation pipeline

TTL indexes and expiring data

Replication models

Change streams / CDC

LSM trees and compaction

Redis data structures

Redis persistence: RDB vs AOF

DynamoDB: partition key, sort key, GSI, LSI

Cassandra data modeling

Write and read paths in a distributed NoSQL

Optimistic concurrency in NoSQL

CAP theorem in practice

PACELC

Sharding and partition keys

Hot partitions

Transactions in NoSQL

Saga pattern

Eventual consistency in practice

Quorum: N, R, W

Conflict resolution and CRDTs

Graph queries and traversals

Search engines as NoSQL

Time-series databases

Schema migrations in NoSQL

Backups and disaster recovery

Polyglot persistence

When NOT to use NoSQL