Neo4j and Property Graph Data Model
Speaker: Philip Rathle (Neo4j)
Over the last decade, understanding and use of graphs has rapidly blossomed into the consumer and IT mainstream, from what was for nearly 300 years a subject of specialized academic interest. One of the key fuels behind this trend has been the emergence of database management systems, together with query languages, tools, and communities around them. These new technologies are evolving as rapidly as they are being adopted, helping organizations to reveal the valuable but often overlooked connections inherent in the data.
Neo4j is a pioneer in graph databases, and is the company behind the leading graph database of the same name. Unlike its RDF, whose initial design principle was annotation on the WWW for machine consumption and interoperation, the property graph model used by Neo4j emphasizes the storage and querying of data inside of a database, as well as building applications that query and manipulate the data.
This session will provide an overview of property graphs and their adoption, and provide links to a variety of relevant case studies and talks, as well as an overview of free and open source software and resources that can be used by anyone to build their own knowledge graph.
The slides can be downloaded here.
Philip is VP of Products for Neo4j, the company behind leading open source graph database, which he joined in 2012 as the first Head of Product. Philip has been working with data and databases for more than twenty years: both in the field as a consultant (Accenture, Tanning Technology Corporation), as a co-founder in the field of Master Data Management (Customer Evolutions), and in product management for database management systems & tooling (Embarcadero Technologies).
Philip is a contributor to the book Graph Databases, published by O'Reilly Media, and he frequently speaks and writes about the technologies, tools, and techniques for deriving value from data. Philip's role as head of product for Neo4j gives him a unique vantage point into the ways companies around the world are leveraging connected data to find to transform their business.