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DESCRIPTION:Click for Latest Location Information: http://edw2023digital.da
 taversity.net/sessionPop.cfm?confid=155&proposalid=14413\nMore and more ent
 erprises are adopting Knowledge Graphs. Some of this interest has come from
  the incredible success firms like Google, Facebook, LinkedIn, and Amazon h
 ave had with their graph efforts. Part of it comes from early adopters
  in Enterprises who have found capabilities in Graph Databases that are ver
 y difficult to replicate in traditional systems, such as graph analytics. O
 ther interest comes from firms using the graph as an integration hub.\n\nTh
 is tutorial will start with what are Graph Databases, and how they relate t
 o Knowledge Graphs. We will show how relational, big data, and even unstruc
 tured data can be mapped to Graph. We will explore and demonstrate the two 
 main types of Graph Databases: Labeled Property Graphs and RDF Triple Store
 s and discuss the pros and cons of each. By the end of this tutorial, atten
 dees will:\n\n
 Understand what Graph Databases and Knowledge Graphs are, and how they diff
 er from traditional databases\n
 Be able to distinguish Labeled Property Graphs and Triple Store, and unders
 tand the strengths and weaknesses of each\n
 Understand when to select a graph rather than a relational data structure\n
 Appreciate the appropriate applications for Knowledge Graphs\n\nAgenda:\n\n
 What is a Knowledge Graph?\n	Value proposition for Knowledge Graphs:\n	\n
 Flexibility\n
 Ability to integrate structured, semi-structured, and unstructured data\n
 Graph analytics\n	\n	\n
 A cook’s tour and demo of Labeled Property Graphs\n
 A cook’s tour and demo of RDF Triple Store\n
 Discussion of knowledge graph use cases\n
 A road map for getting started\n\n
DTSTART:20230331T080000
SUMMARY:T15: Understanding Knowledge Graphs
DTEND:20230331T105959
LOCATION: See Description
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