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 data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.. Google, Facebook and LinkedIn are among those utilising ...

Graph DBs are now being used for a rapidly increasing number of use cases. AI is considered by many as the "new electricity," something we use and rely on every day; graphs enable that.

Because most data solutions use third-party cookies, the data expires after 7-14 days. Expiration of device and third-party IDs makes it impossible to maintain an accurate identity over time by ...

At the recent Snowflake Summit, RelationalAI unveiled a product – what it calls an AI co-processor for cloud platforms and language models – that is integrated in Snowflake’s Data Cloud and lets ...

When given access to multiple enterprise data stores, graph databases can offer entirely new insights and capabilities. Yu Xu is CEO of TigerGraph. Daily insights on business use cases with VB Daily.

You can insert a chart in Excel by selecting your dataset, heading over to the Insert tab, and clicking the chart type you want in the Charts group of the ribbon. Then, you can customize them by ...

Knowledge Graphs, by contrast, represent data as a network of nodes (entities) and edges (relationships). They can handle more complex, nuanced queries based on the types of connections, the ...

How to view and control Wi-Fi data usage on Android Your email has been sent We are growing ever more connected to our mobile devices — so much so that many users have shunned the desktop. To ...