Turning Big Data into Smart Data with Graph Technologies
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Objectivity, Inc. specializes in NoSQL platforms for managing complex data, offering products like Objectivity/DB and InfiniteGraph, a scalable graph database. Their technology, embedded in numerous enterprise and government systems, enables advanced applications such as graph analytics for sectors like logistics and healthcare. The document highlights the advantages of graph databases over traditional SQL approaches, emphasizing features like high-speed data loading and flexible architecture.
Turning Big Data into Smart Data with Graph Technologies
- 1. Objectivity Overview The Company, Customers and Products Nick Quinn For Estuate Inc. August 2013
- 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 – GraphMyLife – an App that uses InfiniteGraph in the Cloud to allow users to combine multiple social networks and search, discover and share information Millions of deployments - Our technology is embedded in hundreds of enterprise and government systems and commercial products Copyright © Objectivity, Inc. 2013
- 3. Not Only SQL – A group of 4 primary technologies Simple Highly Interconnected Copyright © Objectivity, Inc. 2013
- 4. Applications for Graph Analytics LOGISTICS HEALTHCARE INFORMATICS MARKET ANALYSIS SOCIAL NETWORK ANALYSIS Copyright © Objectivity, Inc. 2013
- 5. Graph (Relationship) 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. Copyright © Objectivity, Inc. 2013
- 6. ...Graph Analytics InfiniteGraph - The solution can be found with a few lines of code A SQL Shortcoming A3 G4 Table_A Table_B Table_C Table_D Table_E Table_F Table_G Copyright © Objectivity, Inc. 2013
- 7. Representing the Graph... Combatant A Civilian Q Situation Y Civilian P Bank X Civilian S Civilian R Events/Places People/Orgs Facts Situation X The existing intelligence data might look like this: Target T Cafe C S Seen Near TA Banks at X A Called P A Seen At Y A Seen Near X P Emailed S P Called Q Q Seen Near T P Called R R Seen Near T X Paid S A Eats At Copyright © Objectivity, Inc. 2013
- 8. VERTEX EDGE 2 N ...Representing the Graph.. “Nodes” “Connections” Copyright © Objectivity, Inc. 2013
- 9. Representing the Graph... Combatant A Civilian Q Situation Y Civilian P Civilian S Civilian R Events/Places People/Orgs Facts Situation X Target T We start by identifying the nodes (Vertices) and the connections (Edges) NODES CONNECTIONS S Seen Near TA Banks at X A Called P A Seen At Y A Seen Near X P Emailed S P Called Q Q Seen Near T P Called R R Seen Near T X Paid SBank X Cafe C A Eats At Copyright © Objectivity, Inc. 2013
- 10. ...Representing the Graph.. Situation X Combatant ASeen Near Civilian P Called Called Seen At Situation Y Civilian Q Target T Seen Near Emailed Banks At Bank X Civilian S Seen Near Called Civilian R Seen Near Paid Eats At Cafe C VERTEX EDGE“Nodes” “Connections” Copyright © Objectivity, Inc. 2013
- 11. ...Analyzing the Graph... Situation X Combatant ASeen Near Civilian P Called Called Seen At Situation Y Civilian Q Target T Seen Near Emailed Banks At Bank X Civilian S Seen Near Called Civilian R Seen Near Paid Eats At Cafe C Copyright © Objectivity, Inc. 2013
- 12. ...Analyzing the Graph... Situation X Combatant ASeen Near Civilian P Called Called Seen At Situation Y Civilian Q Target T Seen Near Emailed Banks At Bank X Civilian S Seen Near Called Civilian R Seen Near Paid Eats At Cafe C Copyright © Objectivity, Inc. 2013
- 13. ...Threat Analysis Situation X Combatant ASeen Near Civilian P Called Called Seen At Situation Y Civilian Q Target T Seen Near Emailed Banks At Bank X Civilian S Seen Near Called Civilian R Seen Near Paid SUSPECTS NEEDS PROTECTION Copyright © Objectivity, Inc. 2013
- 14. Graph Databases Can Connect The Dots DATABASE(S) GRAPH DATABASE Copyright © Objectivity, Inc. 2013
- 15. Visual Analytics Copyright © Objectivity, Inc. 2013
- 16. • 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. InfiniteGraph - The Enterprise Graph Database Copyright © Objectivity, Inc. 2013
- 17. InfiniteGraph Capabilities Parallel Graph Traversal Inclusive or Exclusive Selection X X Shortest or All Paths Between Objects Start Start Start Finish Start Compute Cost To Date Visualize Computational & Visualization Plug-Ins Copyright © Objectivity, Inc. 2013
- 18. Online Demo - Call Detail Record Analysis Used in law enforcement, counter-terrorism and Customer Resource Management
- 19. Thank You! Please take a look at objectivity.com For InfiniteGraph Online Demos, White Papers, Free Downloads, Samples & Tutorials and visit our booth for a demonstration
Editor's Notes
- #16: Note Object Oriented Databases as NOSQL here.