Introduction to NoSQL and Core Concepts
Module 1: Understanding NoSQL Databases
What is NoSQL?
Key differences between NoSQL and RDBMS.
Benefits and challenges of using NoSQL.
Module 2: Types of NoSQL Databases
Document-based databases (e.g., MongoDB).
Key-value stores (e.g., Redis).
Column-family stores (e.g., Cassandra).
Graph databases (e.g., Neo4j).
Module 3: Use Cases and Applications
When and why to use NoSQL.
Industries and scenarios where NoSQL excels.
Hands-On Exercises:
Schema Design and Operations
Module 4: NoSQL Schema Design
Differences between relational and NoSQL schema design.
Best practices for designing schemas for scalability.
Module 5: CRUD Operations in NoSQL
Performing Create, Read, Update, and Delete operations.
Querying and indexing for optimal performance.
Module 6: Advanced Querying Techniques
Aggregation pipelines in document-based databases.
Query optimization strategies.
Data modeling in graph databases.
Hands-On Exercises:
Designing schemas for a sample NoSQL database.
Writing and executing CRUD operations.
Implementing advanced queries with aggregation pipelines.
Integration, Performance, and Future
Trends
Module 7: Integrating NoSQL with Applications
Connecting NoSQL databases to modern application
frameworks.
Data synchronization and replication techniques.
Module 8: Performance Tuning and Security
Indexing strategies and caching mechanisms.
Ensuring data security and implementing access controls.
Module 9: Future of NoSQL Databases
Trends and advancements in NoSQL technology.
Emerging tools and platforms in the NoSQL ecosystem.
Hands-On Exercises:
