Data & AI

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Albert Godfrind

Graph Analytics: A New Way to Understand Your Data

Albert Godfrind

Modeling information as graphs is a natural and intuitive way for understanding complex relationships such as interactions in social networks or financial transactions between legal entities.

In graph databases, entities are modeled as vertices in a graph structure, while relationships are modeled as edges between them, turning relationships into first-class objects in the graph store. This enables powerful analytics as well as sophisticated pattern-matching capabilities.

With the Spatial and Graph option to the database, Oracle offers an in-memory analytics engine based on the concepts of property graphs, which comes with a large number of graph algorithms out-of-the box and which also supports graph pattern matching. For pattern matching queries, a powerful, SQL-like query language, PGQL, is included to define the search patterns.

In this session, we will explain the architecture of the solution and how the load is distributed between the persistence layer in the database and the in-memory analytics engine. We will look at how inherently schema-less data is stored in the relational database and how the resulting data structures can be used for graph traversal queries, computational analysis in PL/SQL, or pattern matching by means of SQL queries. With new functionality in Oracle 18c, these pattern-matching queries can be automatically generated from PGQL queries, allowing a very efficient and compact formulation of patterns. Finally, we will explain how the entire environment can be deployed on the Oracle Cloud.

Informacije o predavanju

Jezik / Language: ENG

O Avtorju

Albert Godfrind works for Oracle Corporation as a Solutions Architect for Spatial and Graph technologies. Albert has over 25 years of experience in designing, developing, and deploying IT applications. His interest and enthusiasm for spatial information and geographical information systems began at Oracle when he started using the spatial extensions of the Oracle database in 1998. Ever since, Albert has been evangelizing the use of spatial information to GIS and BI communities across Europe, consulting with partners and customers, speaking at conferences, and designing and delivering in-depth technical training.

Albert is one of the authors of the first book on Oracle Spatial, Pro Oracle Spatial - The essential guide to developing spatially enabled business applications.

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