Useful Links
Computer Science
Databases
NoSQL Databases
1. Introduction to NoSQL
2. Fundamental Concepts and Theories
3. Major NoSQL Database Models
4. Data Modeling in NoSQL
5. Querying and Data Interaction
6. Architecture, Operations, and Security
7. Advanced Topics and Emerging Trends
Major NoSQL Database Models
Key-Value Stores
Core Concepts
Dictionary Model
Hash Map Structure
Simple Key-Value Pairs
Architecture and Operations
Data Storage Structure
Basic Operations
Get Operation
Put Operation
Delete Operation
Batch Operations
Memory vs Disk Storage
Persistence Mechanisms
Data Model Characteristics
Opaque Value Storage
Value Type Flexibility
Key Design Considerations
Strengths and Advantages
Simplicity of Design
High Performance
Linear Scalability
Ease of Distribution
Low Latency Access
Weaknesses and Limitations
Limited Querying Capabilities
Lack of Relationships
No Secondary Indexes
Simple Data Model
Common Use Cases
Caching Systems
Session Management
Real-Time User Profiles
Shopping Carts
Configuration Storage
Distributed Locking
Popular Key-Value Databases
Redis
Amazon DynamoDB
Riak
Voldemort
Berkeley DB
Document Databases
Core Concepts
Document-Oriented Storage
Self-Describing Documents
Nested Data Structures
Data Formats
JSON Documents
BSON Format
XML Documents
YAML Support
Architecture and Operations
Collections Organization
Document Structure
CRUD Operations
Create Operations
Read Operations
Update Operations
Delete Operations
Rich Querying Capabilities
Indexing Support
Aggregation Frameworks
Strengths and Advantages
Flexible Schema
Intuitive Data Model
Nested Data Structures
Powerful Query Capabilities
Developer Productivity
Weaknesses and Limitations
Complex Transactions
Data Duplication Issues
Document Size Limitations
Join Operation Complexity
Common Use Cases
Content Management Systems
Product Catalogs
User Profiles
Blogging Platforms
Real-Time Analytics
Mobile Applications
Popular Document Databases
MongoDB
CouchDB
Amazon DocumentDB
RavenDB
ArangoDB
Wide-Column Stores
Core Concepts
Two-Dimensional Key-Value Model
Column-Oriented Storage
Sparse Data Handling
Architecture and Terminology
Keyspace Organization
Column Family Structure
Row Key Design
Column Structure
Timestamp Versioning
Super Columns
Comparison to Relational Tables
Schema Flexibility
Dynamic Columns
Sparse Data Efficiency
Strengths and Advantages
High Write Throughput
Excellent Scalability
Efficient Sparse Data Storage
Time-Series Data Handling
Compression Benefits
Weaknesses and Limitations
Complex Data Modeling
Limited Ad-Hoc Querying
Learning Curve
Secondary Index Limitations
Common Use Cases
Large-Scale Analytics
Time-Series Data
Logging and Event Data
Sensor Data Storage
Financial Data
Recommendation Systems
Popular Wide-Column Databases
Apache Cassandra
HBase
ScyllaDB
Amazon SimpleDB
Google Bigtable
Graph Databases
Core Concepts
Graph Theory Foundations
Network Data Modeling
Relationship-Centric Approach
Architecture and Terminology
Nodes and Vertices
Edges and Relationships
Properties and Attributes
Labels and Types
Graph Traversal Algorithms
Depth-First Search
Breadth-First Search
Shortest Path Algorithms
PageRank Algorithm
Community Detection
Query Languages
Declarative Query Languages
Cypher Query Language
SPARQL
Imperative Query Languages
Gremlin
GraphQL
SQL Extensions for Graphs
Strengths and Advantages
Relationship Performance
Complex Relationship Modeling
Flexible Schema for Relationships
Pattern Matching
Real-Time Recommendations
Weaknesses and Limitations
Scaling Challenges
Distributed Graph Complexity
Memory Requirements
Limited Analytical Capabilities
Common Use Cases
Social Networks
Recommendation Engines
Fraud Detection
Network and IT Operations
Knowledge Graphs
Master Data Management
Popular Graph Databases
Neo4j
Amazon Neptune
ArangoDB
OrientDB
TigerGraph
Previous
2. Fundamental Concepts and Theories
Go to top
Next
4. Data Modeling in NoSQL