NoSQL Database Roadmap

Explore the world of NoSQL databases, from basic concepts to practical applications.

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

Core Mindsets for NoSQL Practitioners

1. Flexibility is Power

NoSQL frees you from rigid schemas. Embrace this flexibility to develop faster and handle unstructured data naturally.

2. Design for Queries

Unlike SQL, in NoSQL you model your data based on how you will read it. Denormalization and data duplication are your friends, not your enemies.

3. Embrace Trade-offs

Understand the CAP Theorem. You can't have it all. Choose the model (CP or AP) that best fits your application's consistency and availability requirements.

4. Scale Horizontally

The true power of NoSQL lies in its ability to distribute across many servers. Think about sharding and replication from the beginning when designing your system.