| 1 |
Core Concepts |
- CAP Theorem (Consistency, Availability, Partition Tolerance)
- ACID vs. BASE
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- Understand the foundational principles of distributed systems and NoSQL.
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| 2 |
Types of Data Models |
- Document Database
- Key-Value Database
- Column-Family Database
- Graph Database
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- Identify the main types of NoSQL databases and their use cases.
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| 3 |
Document Database (MongoDB) |
- Concepts: Collections, Documents
- CRUD Operations
- Aggregation Framework
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- Practice storing and flexibly querying data with MongoDB.
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| 4 |
Key-Value Database (Redis) |
- Concepts
- Data Structures (Strings, Lists, Hashes...)
- Use Cases (Caching, Session Store)
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- Use Redis for high-performance applications.
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| 5 |
Column-Family Database (Cassandra) |
- Architecture (Ring, Nodes)
- Data Model (Keyspace, Column Family)
- Query Language (CQL)
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- Work with a database designed for Big Data and high availability.
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| 6 |
Graph Database (Neo4j) |
- Graph Concepts (Nodes, Relationships)
- Cypher Query Language
- Use Cases (Social Networks, Recommendation)
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- Model and query data with complex relationships.
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| 7 |
NoSQL Data Modeling |
- Denormalization
- Embedding vs. Referencing
- Query-Driven Design
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- Master schema design techniques for NoSQL.
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| 8 |
Indexing and Performance |
- What is an Index?
- Types of Indexes in NoSQL
- Query Performance Analysis
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- Optimize data read speed.
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| 9 |
Transactions & Consistency |
- Eventual Consistency
- Transactions in NoSQL
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- Understand the trade-offs in data consistency.
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| 10 |
Scalability |
- Horizontal vs. Vertical Scaling
- Sharding
- Replication
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- Understand how NoSQL systems handle large amounts of data.
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| 11 |
Real-world Project |
- Choose the right tool for the problem
- Build a complete application using a NoSQL database
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- Apply learned knowledge to a practical project.
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