How LinkedIn, Google and PayPal Bested their Competition with Graph Engines

Tuesday, Sep 12, 2017 - 7:00 pm to 9:00 pm          

Location: SEMI 



6 – 7 PM:  Autonomous Vehicles SIG (AV-SIG) – Key Autonomous Vehicle Technologies for Precise Location & Realtime Mapping   Info →


This talk will provide an overview of Graph Databases and Graph-Compute – known together as Graph Engines. These technologies consider the relationship between data objects to be as valuable, if not more valuable, than the discreet data itself. As such, Graph Engines are critical for many of the largest firms in the world.

With traditional databases, relationship queries slow dramatically as the number and depth of relationships increase. In contrast, Graph Database performance is constant even as your data grows dramatically. With the ever-expanding amount of data available for analysis, Graph Engine technology is quickly becoming an essential element of business around the world.

This talk will address the following topics:

  • Why are Graphs so important?
  • What is a Graph Database?
  • A primer on the “Property Graph Model”
  • Graph-Compute vs. Graph-Persistence
  • Where Graphs are appropriate and where they are not
  • Examples of some common use cases
  • How LinkedIn, Google, PayPal and other major companies rely on Graph Engines

About the speaker, Ryan Boyd of Neo4j, Inc.

Ryan Boyd is a Developer Relations Engineer at Neo4j.  He is an SF-based software engineer focused on helping developers understand the power of graph databases.  During his eight years a Google he was a product manager for architectural software, built applications and web hosting environments for higher education, and worked in developer relations for 20 products.


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Early SIG meeting schedule:

6:00 PM  – SIG Meeting (CNSV Special Interest Group) :
Note: Free Registration includes Main and SIG meetings, but please register. (See Ticket Info, above)

 

Autonomous Vehicles SIG (AV-SIG):  Key Autonomous Vehicle Technologies for Precise Location & Realtime Mapping

Autonomous vehicle methodology and vehicle-to-vehicle safety communication currently take dramatically different approaches. Although each delivers different benefits, they share overlapping needs such as precise location and real-time lane and mapping data. Two new technologies will be described in detail that are applicable to both autonomous vehicles and vehicle-to-vehicle safety communication.

The first need is for precise location. Although GPS’s nominal accuracy of 15 meters is suitable for human navigation instructions, it is short by a factor of 100 for use in assisting vehicles to move safely within lanes and cooperatively with other vehicles.

The second need is for real-time, accurate mapping to sub-lane accuracy, such as for describing construction changes and blocked lanes by delivery vehicles. Data sharing between vehicles immediately invokes fear of lost privacy and hacking.

These two technologies will be technically described with example execution. Neither uses any new infrastructure, road-side equipment, or a subscription service, and they maintain absolute privacy and provide hacking detection and avoidance.

Kim Rubin has been a successful inventor and entrepreneur for over 40 years. Working since 2005 in the area of vehicle-to-vehicle communication and protocols, he currently holds 14 patents in this space. Kim’s experience includes teaching college courses in network communications and cyber security, as well as ten years designing and installing high-security network infrastructure for public facilities and government safety organizations. Kim is a Registered US Patent Agent.

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