Database Reference
In-Depth Information
CHAPTER 7
Titan Graph Databases with
Cassandra
So far, we have discussed data modeling in Cassandra, building a large data analytics
platform using Hadoop and related technologies. When business requirements require
interconnectedness among various objects, an answer is having reference (joins) queries
among multiple objects. Everything looks good until we have to deal with many such re-
lations or the data volume becomes really huge.
LinkedIn, Twitter, and Facebook are popular examples where relationships among
registered users can be described as a social graph. Another example could be building a
credit history and doing risk analysis of granting loans to a group of customers. Defin-
itely with multiple tables and join theory, we can implement a solution but obviously it
will not be scalable and performant. That's where idea of using a graph database comes
very handy.
In this chapter we will discuss:
•
An introduction to graph concepts
•
Graph frameworks and databases
•
Titan Graph setup and installation
•
Graph use cases
Introduction to Graphs
