Master the art of impactful data visualization with these 10 tips to transform raw numbers into compelling visual stories.

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

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.

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.

LinkedIn, for example, uses a knowledge graph to structure and interconnect data about its members, jobs, titles, and other entities. It uses its knowledge graph to enhance its recommendation ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

One of the most prevalent examples is the Google knowledge graph, employed in web search, or Amazon's product graph. Additional knowledge graphs are publicly accessible. DBpedia, Wikidata, WordNet ...

Learn about some of the common data visualization mistakes made by BI professionals, such as choosing the wrong chart type, overloading the visualization with data, ignoring the context and ...