T15 EDW Tutorial: Understanding Knowledge Graphs

Time: Friday, March 31st, 8am - 11am Pacific Time (PST)/11am - 2pm Eastern Time (EST)

This Enterprise Data World (EDW) Digital Tutorial can be purchased on the official conference website, but the live tutorial will occur within the DATAVERSITY Training Center. You will receive your unique login credentials and confirmation once you've registered for this paid Tutorial at: https://edw2023digital.dataversity.net/registration-welcome.cfm

Registration for this Tutorial will also give you access to all active tutorials within the same time slot.

All paid Tutorial registrations include access to the free 2-day program Tuesday-Wednesday. Please note that you will receive separate login instructions for the free program, as it will take place on a different platform than the Tutorials. See your registration confirmation for details.  

The EDW Digital Conference site can be found at: https://edw2023digital.dataversity.net/index.cfm

Tutorial Description

More and more enterprises are adopting Knowledge Graphs. Some of this interest has come from the incredible success firms like Google, Facebook, LinkedIn, and Amazon have had with their graph efforts. Part of it comes from early adopters in Enterprises who have found capabilities in Graph Databases that are very difficult to replicate in traditional systems, such as graph analytics. Other interest comes from firms using the graph as an integration hub.

This tutorial will start with what are Graph Databases, and how they relate to Knowledge Graphs. We will show how relational, big data, and even unstructured data can be mapped to Graph. We will explore and demonstrate the two main types of Graph Databases: Labeled Property Graphs and RDF Triple Stores and discuss the pros and cons of each. By the end of this tutorial, attendees will:

• Understand what Graph Databases and Knowledge Graphs are, and how they differ from traditional databases
• Be able to distinguish Labeled Property Graphs and Triple Store, and understand the strengths and weaknesses of each
• Understand when to select a graph rather than a relational data structure
• Appreciate the appropriate applications for Knowledge Graphs

Agenda:

• What is a Knowledge Graph?
• Value proposition for Knowledge Graphs:
• Flexibility
• Ability to integrate structured, semi-structured, and unstructured data
• Graph analytics
• A cook’s tour and demo of Labeled Property Graphs
• A cook’s tour and demo of RDF Triple Store
• Discussion of knowledge graph use cases
• A road map for getting started

Speaker: Dave McComb

Dave McComb is the President and co-founder of Semantic Arts. Semantic Arts specializes in helping medium to large enterprises adopt Knowledge Graph technology and Data-Centric application development. Dave has been running Semantic Arts for 22 years. He has led major Data-Centric initiatives at Morgan Stanley, Amgen, Verizon, Price Waterhouse, Procter & Gamble, International Monetary Fund, Lexis Nexis, Goldman Sachs, Electronic Arts, Standard & Poors, Dunn & Bradstreet, and several mid-sized companies. He is the author of Semantics in Business Systems, Software Wasteland, and The Data-Centric Revolution.