In the era of cheap disk space, processing power and high bandwidth networks, the constraints that caused our industry to have a near exclusive focus on Relational Database Management Systems (RDBMS) have abated. The terminology surrounding NoSQL and BigData are confusing to IT professionals trying to select the right storage for the right problem. The talk will explore the technical reasons you might select one of these new databases, the types of databases available, their correct use and quintessential use cases for them. Also discussed will be the counter indications for them. This is a survey talk for management and developers who are new to NoSQL/BigData/Non-RDBMS.

1. The NoSQL Landscape
Sun Seng David TAN
SERLI

2. What we’ll talk about
• Why RDBMS are not enough?
• What are the different NoSQL taxonomies?
• Which “NoSQL” is right for me?
Serli

3. Growth is the New Reality
• Instagram gained nearly 1 million users overnight when they
expanded to Android
Serli

4. Does it work with RDMBS backend?
Application Scales Out
Just add more commodity web
servers
Database Scales Up
Get a bigger, more complex server
Note – Relational database technology is great for what it is great for, but it is not great for this.

5. NoSQL database matches application logic tier architecture
Data layer now scales with linear cost and constant performance
Application Scales Out
Just add more commodity web
servers
NoSQL Database Servers
Database Scales Out
Just add more commodity data
servers
Scaling out flattens the cost and performance curves.
Serli

6. NoSQL catalog
Cache
(memory only)
Key-Value
Data Structure
Memcached
Document
Column
Graph
Redis
Couchbase
Cassandra
Neo4j
MongoDB
HBase
Database
(memory/disk)
Coherence
Membase
InfiniteGraph

7. What about Hadoop?

8. Conclusion
• One Size Does Not Fit All
• Overview of the the NoSQL types
• Choose the right solution
– Developer Productivity
– Large Scale Data
Serli

9. Q&A

10. Thanks!