More Related Content Similar to Infinite graph nosql meetup dec 2012 Similar to Infinite graph nosql meetup dec 2012 (10) More from InfiniteGraph (20) 1. Choosing The Right Big Data Tools For The Job –
A Polyglot Approach
Current Big Data Analytics
Relationship Analytics
The NoSQL Polyglot Approach
The Big Data Connection Platform
Leon Guzenda
Silicon Valley NoSQL Meetup
December 11, 2012
2. Objectivity Inc.
• Objectivity, Inc. is headquartered in Sunnyvale, CA.
• Objectivity has over two decades of Big Data and NoSQL experience
• We develop NoSQL platforms for managing and discovering relationships and
patterns in complex data:
– Objectivity/DB - an object database that manages localized, centralized or
distributed databases
– InfiniteGraph - a massively scalable graph database built on Objectivity/DB
that enables organizations to find, store and exploit the relationships in their
data
Millions of deployments - Our technology is embedded in hundreds of enterprise
and government systems and commercial products
Copyright © Objectivity, Inc. 2012
3. A Typical “Big Data” Analytics Setup
Data Aggregation and Analytics Applications
Commodity Linux Platforms and/or High Performance Computing Clusters
Column Data Graph Object K-V
RDBMS Hadoop Doc DB
Store W/H DB DB Store
Structured Semi-Structured Unstructured
Copyright © Objectivity, Inc. 2012
4. Not Only SQL – A group of 4 primary technologies
Simple Highly
Interconnected
Copyright © Objectivity, Inc. 2012
6. Incremental Analytics Improvements Aren’t Enough
All current solutions use the same basic architectural model
• None of the current solutions have a way to store connections between
entities in different silos
• Most analytic technology focuses on the content of the data nodes, rather
than the many kinds of connections between the nodes and the data in those
connections
• Why? Because traditional and earlier NoSQL solutions are bad at handling
relationships.
• Graph databases can efficiently store, manage and query the many kinds of
relationships hidden in the data.
Copyright © Objectivity, Inc. 2012
7. Relationship (Connection) Analytics...
A SQL Shortcoming
Think about the SQL query for finding all links between the two “blue” rows... it's hard!!
Table_A Table_B Table_C Table_D Table_E Table_F Table_G
There are some kinds of complex relationship handling problems that SQL
wasn't designed for.
8. Relationship (Connection) Analytics...
A SQL Shortcoming
Table_A Table_B Table_C Table_D Table_E Table_F Table_G
InfiniteGraph - The solution can be found with a few lines of code
A3 G4
Copyright © Objectivity, Inc. 2012
9. Applications for Relationship Analytics
MARKET ANALYSIS SOCIAL NETWORK ANALYSIS
LOGISTICS HEALTHCARE INFORMATICS
Copyright © Objectivity, Inc. 2012
10. Representing the Graph...
The existing intelligence data might look like this:
Events/Places People/Orgs Facts
Situation X Combatant A A Called P A Seen Near X P Emailed S
Situation Y Bank X P Called Q Q Seen Near T X Paid S
Target T Civilian P R Seen Near T
P Called R
Cafe C Civilian Q A Banks at X S Seen Near T
Civilian R A Seen At Y
A Eats At
Civilian S
Copyright © Objectivity, Inc. 2012
11. Representing the Graph...
We start by identifying the nodes (Vertices) and the connections (Edges)
NODES CONNECTIONS
Events/Places People/Orgs Facts
Situation X Combatant A A Called P A Seen Near X P Emailed S
Situation Y Bank X P Called Q Q Seen Near T X Paid S
Target T Civilian P R Seen Near T
P Called R
Cafe C Civilian Q A Banks at X S Seen Near T
Civilian R A Seen At Y
A Eats At
Civilian S
Copyright © Objectivity, Inc. 2012
13. ...Representing the Graph..
“Nodes” VERTEX EDGE “Connections”
Situation X Seen Near Combatant A Seen At Situation Y
Eats At Called Banks At
Cafe C Civilian P Bank X
Called Called Emailed Paid
Civilian Q Civilian R Civilian S
Seen Near Seen Near Seen Near
Target T
Copyright © Objectivity, Inc. 2012
14. ...Analyzing the Graph...
Situation X Seen Near Combatant A Seen At Situation Y
Called Banks At
Eats At
Cafe C Civilian P Bank X
Called Called Emailed Paid
Civilian Q Civilian R Civilian S
Seen Near Seen Near Seen Near
Target T
Copyright © Objectivity, Inc. 2012
15. ...Analyzing the Graph...
Situation X Seen Near Combatant A Seen At Situation Y
Called Banks At
Eats At
Cafe C Civilian P Bank X
Called Called Emailed Paid
Civilian Q Civilian R Civilian S
Seen Near Seen Near Seen Near
Target T
Copyright © Objectivity, Inc. 2012
16. ...Threat Analysis
Situation X Seen Near Combatant A Seen At Situation Y
Called Banks At
SUSPECTS
Civilian P Bank X
Called Called Emailed Paid
Civilian Q Civilian R Civilian S
Seen Near Seen Near Seen Near
Target T NEEDS PROTECTION
Copyright © Objectivity, Inc. 2012
17. Graph Databases Can Connect The Dots
DATABASE(S)
GRAPH DATABASE
Copyright © Objectivity, Inc. 2012
20. We (Oracle, Objectivity and Impetus) can help you combine Oracle NoSQL
Products with InfiniteGraph to produce...
YOUR BIG DATA CONNECTION PLATFORM
21. InfiniteGraph - The Enterprise Graph Database
• A high performance distributed database engine that supports analyst-time decision
support and actionable intelligence
• Cost effective link analysis – flexible deployment on commodity resources (hardware
and OS).
• Efficient, scalable, risk averse technology – enterprise proven.
• High Speed parallel ingest to load graph data quickly.
• Parallel, distributed queries
• Flexible plugin architecture
• Complementary technology
• Fast proof of concept – easy to use Graph API.
Copyright © Objectivity, Inc. 2012
22. InfiniteGraph Capabilities
Parallel Graph Traversal Inclusive or Exclusive Selection
X
Start Start
X
Shortest or All Paths Between Objects Computational & Visualization Plug-Ins
Compute Cost To Date
Start Finish Start
Visualize
Copyright © Objectivity, Inc. 2012
23. Conventional & Relationship Analytics
Data Visualization
& Analytics
*Now HP *Now IBM
Big Data Connection ORACLE
Platform Big Data
Solutions
+
Impetus, Oracle and Objectivity can help you combine Oracle NoSQL Products
with InfiniteGraph to produce a customized Big Data Analytics Platform
Copyright © Objectivity, Inc. 2012
24. Thank You!
Please take a look at objectivity.com
For InfiniteGraph Online Demos, White Papers, Free
Downloads, Samples & Tutorials
Editor's Notes Thinking we should be less about Objy in the last bullet… possibly Object oriented and graph databases… ? Note Object Oriented Databases as NOSQL here. This section seems out of place. By having a scalable and distributed platform that can manage connections between all types of disparate data, enterprise can easily capitalize on the best tools for the job at hand.
