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DESCRIPTION:Click for Latest Location Information: http://edw2022.dataversi
 ty.net/sessionPop.cfm?confid=129&proposalid=13515\nMore and more enterprise
 s are adopting Knowledge Graphs.  Some of this interest has come from 
 the incredible success firms like Google, Facebook, LinkedIn, and Amazon ha
 ve 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. &
 nbsp; Other interest comes from firms using the graph as an integratio
 n hub.\nThis tutorial will start with what is a Graph Database, and how do 
 they relate to Knowledge Graphs.  We will show how relational, big dat
 a and even unstructured data can be mapped to Graph. We will explore and de
 monstrate the two main types of Graph Databases: Labeled Property Graphs an
 d RDF Triple Stores and discuss the pros and cons of each. By the end of th
 is tutorial, attendees 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
DTSTART:20220321T133000
SUMMARY:Understanding Knowledge Graphs
DTEND:20220321T164459
LOCATION: See Description
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