The Graph, the open, universal data layer for web3, announced today a strategic integration with the TRON blockchain network ...

The Graph and TRON integration introduces real-time data streaming, enabling developers access to live blockchain insights ...

In this paper, we propose a set of formal rules to convert a multidimensional data model into a graph data model (MDM2G). These rules allow conventional star and snowflake schemas to fit into NoSQL ...

Data modeling flexibility: Because they are schema-less, they are ideal for various types of data formats, such as document stores, key-value stores, and graph databases.

Siva Prasad Nandi, a researcher in cloud-native technologies, explores the rise of serverless databases. This article highlights how innovations in architecture and automation are reshaping data ...

Key Takeaways: The global graph database market is expected to grow at a CAGR of 22.4%, reaching USD 12.3 billion by 2034. North America leads due to the early adoption of big data and AI technologies ...

When you use Schema Markup to describe the entities on your site and their relationships to other entities, you essentially express them as RDF triples that form your content knowledge graph.

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

To ensure data structuring and create a knowledge graph, one needs to define the ontology or schema, which delineates the categories of entities and relationships and the rules that govern them.

Relational databases, on the other hand, are designed to manage structured data with well-defined schemas and are often used for training models on tabular data, such as customer demographics ...

In the same way as with relational systems, schema evolution is a crucial aspect of NoSQL systems. But providing approaches and tools to support NoSQL schema evolution is more challenging than for ...