This is the sixth article of the "Big Data Processing with Apache Spark” series. Please see also: Part 1: Introduction, Part 2: Spark SQL, Part 3: Spark Streaming, Part 4: Spark Machine Learning, Part ...

Powers cloud applications that need to manage complex and highly connected data Graph-specific use cases include master data management, recommendation & personalization, security & ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

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 ...

Just as the social graph emerged over the last 10 years as a valued platform for our digital lives, the next decade could signal the emergence of our personal experience graph — connected data of what ...