Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

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.

Graph analytics can be performed on any back end, as they only require reading graph-shaped data. Graph databases are databases with the ability to fully support both read and write, utilizing a ...

AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the ...

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 ...

With the global data science platform market size forecast to reach $322.9 billion by 2026 (up from $95.3 billion in 2021), staying informed and adapting to these advancements means leaders can ...

Netflix Co-Chief Ted Sarandos Says It Will Soon Be “Much More Common” For Streaming Data To Be “Fully Transparent,” As With Metrics Like Box Office, TV Ratings And Billboard Charts.

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.” ...