Graph data science is when you want to answer questions, ... The data-scientist friendly UI of GDS. Making GDS easy to use for all potential users was a top priority for this release, ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

SHACL allows a data graph, for instance, to specify the corresponding shapes graph used to describe the link between a given shape and targeted data. Franz claims its upgraded, flexible architecture ...

It is important to note that Graph DBs complement the existing MDM application, within the MDM infrastructure, as a way to store and retrieve Master Data. Out of the box, Graph DBs do not have the ...

Where to use knowledge graphs. According to Gartner’s Top 10 Data and Analytics Trends for 2021, knowledge graphs are the foundation of modern data and analytics, with capabilities to enhance ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

It depends on the data set, he said. “A graph is a good abstraction for a social network, but social networks are so much more. With higher-order systems, there are more ways to model.” ...

Missing the bar: How people misinterpret data in bar graphs. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2022 / 02 / 220203102536.htm. Wellesley College.