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1. NoSQL Data Stores – Introduction

• The world of structured data – RDBMS (Brief use cases and limitations)
• Introduction to Big-Data focussing on Volume, Velocity, Variety
• Need of newer approaches for data storage & processing.(scalability& performance)
• The emergence of NoSQL and why use NoSQL(semi-structured & unstructured data)
• Brief on various newer data formats & data patterns.
• Understanding CAP theorem
• Comparative study of various NoSQL Solutions.

 

2. Categories of NoSQL Data stores & data models

• Key-value stores
• Document stores
• Column-family stores
• Graph Databases
• In-memory databases
• Use cases for above

 

3. Internals, Architecture, Implementation & usage
 

4. Key-value Databases (e.g. Redis/Memcache/RIAK)

• What is it & when is it needed
• Features, Advantages, Disadvantages
• Suitable Use cases & examples
• When not to use
• Internals & architecture: Brief
• Setup options: Brief
• Implementation & usage: Brief

 

5. Document Databases (e.g. MongoDB/CouchDB)

• What is it & when is it needed
• Features, Advantages, Disadvantages
• Suitable Use cases & examples
• When not to use
• Internals & architecture: Brief
• Setup options: Brief
• Implementation & usage: Brief

 

6. Column-Family Databases (e.g. Cassandra, HBase)

• What is it & when is it needed
• Features, Advantages, Disadvantages
• Suitable Use cases & examples
• When not to use
• Internals & architecture: Brief
• Setup options: Brief
• Implementation & usage: Brief

 

7. Graph Database (e.g. Neo4J, Infinite Graph)

• What is it & when is it needed
• Features, Advantages, Disadvantages
• Suitable Use cases & examples
• When not to use
• Internals & architecture: Brief
• Setup options: Brief
• Implementation & usage: Brief

8. Schema Migration

• Schema differences in RDBMS and NoSQL Database
• Challenges & considerations when moving into NoSQL

 

9. Polyglot Persistence

• How to choose the Right technology on data storage

 

10. Optional (based on time availability)  

• Monitoring options
• Integration with other platforms, programming interfaces, tools & APIs
• Comparison: on-premise vs. cloud platforms
• Latest updates happening in this space.
• FAQs and final discussion.

 

 

**Note: For "Internals, Architecture, Implementation & Usage" topic: Suggestion is to choose atleast 2 or prioritize 2 topics which can be discussed in more detail than other 2 categories.