I’ve talked about these approaches before, looking at Azure AI Studio’s Prompt Flow ... the vertices that link the graph nodes that store your data. Graph databases like this shouldn ...

Takes application logs from Elasticsearch (because you do have logs, right?) and visualizes how your data flow through the database allowing you to quickly identify which parts of your code inserts / ...

Here’s the basic flow: For a given user ... These services leverage the DataStax Enterprise Graph database (built on Apache Cassandra) for data storage and access the data using CQL.

Based on recent trends and some emerging analyst research, it seems that when companies get serious about master data management, they start using graph database technology. Companies traveling ...

Nevertheless, currently, only graph databases support respective languages, but not by distributed graph processing systems. This paper considers the possibility of using the data flow language Pig ...

What Is a Graph Database? Use Cases, Benefits and More Your email has been sent Efficient relationship processing. Flexibility and agility. Intuitive data modeling. Optimized for complex operations.

The combination of TinkerPop query engine, Gremlin query language, and Aerospike’s data management capabilities is a general-purpose property graph database that’s suitable for the types of ...

Abstract: Data flow testing helps testers design effective tests by requiring the tests to execute sequences of statements from definitions of variables to one or more subsequent uses. These def-use ...