NoSQL Database Roadmap
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| |-- Fundamentals
| |-- Introduction to NoSQL Databases
| | |-- What is NoSQL?
| | |-- Types of NoSQL Databases: Document, Key-Value, Column, Graph
| | |-- NoSQL vs. Relational Databases
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|-- Types of NoSQL Databases
| |-- Document-Based Databases
| | |-- MongoDB
| | |-- CouchDB
| |-- Key-Value Databases
| | |-- Redis
| | |-- Riak
| |-- Column-Based Databases
| | |-- Cassandra
| | |-- HBase
| |-- Graph Databases
| | |-- Neo4j
| | |-- ArangoDB
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|-- Data Modeling in NoSQL
| |-- Designing Schemas for NoSQL
| | |-- Understanding Data Structures in NoSQL
| | |-- Denormalization vs Normalization
| |-- Indexes and Queries
| | |-- Indexing in NoSQL
| | |-- Querying NoSQL Databases
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|-- Scalability and Performance
| |-- Horizontal vs Vertical Scaling
| | |-- Sharding and Partitioning
| |-- Consistency and Availability
| | |-- CAP Theorem (Consistency, Availability, Partition Tolerance)
| | |-- Eventual Consistency
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|-- Security and Backup
| |-- Authentication and Authorization
| | |-- Access Control in NoSQL Databases
| |-- Backup and Data Recovery
| | |-- Techniques for NoSQL Backup
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|-- Tools and Frameworks
| |-- Data Access Libraries
| | |-- Mongoose (for MongoDB)
| | |-- Cassandra Driver
| |-- Cloud-based NoSQL Services
| | |-- Amazon DynamoDB
| | |-- Google Cloud Datastore
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|-- Use Cases and Applications
| |-- Content Management Systems
| |-- Real-Time Applications
| |-- Social Networks
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|-- Advanced Topics
| |-- Graph Processing with NoSQL
| |-- Time-Series Data in NoSQL Databases
| |-- Data Consistency Models
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|-- Integration with Other Technologies
| |-- NoSQL with Hadoop and Spark
| |-- Integrating NoSQL with Relational Databases (Polyglot Persistence)