Navigating the NoSQL Landscape, Sun Seng David TAN, Serli

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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.

Technology

The NoSQL Landscape
Sun Seng David TAN

SERLI

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

Serli

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

Serli

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.

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

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

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

Serli

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Navigating the NoSQL Landscape, Sun Seng David TAN, Serli

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!

Navigating the NoSQL Landscape, Sun Seng David TAN, Serli

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