In the midst of a global pandemic, big data technologies like graph databases are demonstrating a remarkable capability to model complex interactions

Your one-stop introduction to the world of graph tech.

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up, Fluree PBC, which announced the government contract this week. Fluree is working with Air Force’s Small Business Innovation Research AFWERX technology innovation program to launch a proof of concept of the distributed ledger technology (DLT) later this year.The ledger could include intelligence gathered during military operations and supply chain parts tracking. Fluree

The biggest challenge for enterprise IT is connecting data because unconnected data is a liability.

When using a relational database, you store different information in different database tables. But what’s missing is the connective tissue, the connection between the database tables. A graph database stores the same sort of data, but is also able to store linkages between them.

Customers continue to want greater visibility and control over the services they use within AWS. When it comes to our database services, customer requests typically revolve around providing greater insights into the query optimization and processing within a given database. Database developers and administrators are mostly already familiar with the idea and use of database […]

commerce recommendations and financial risk management.

Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.

Graphs are a general-purpose #datamodel, as relational was a general-purpose #data model a generation ago. A supply chain is a graph. Knowledge is a graph. Graphs are very applicable in a wide range of use cases @jimwebber @TheRegister #GraphDB #tech [LINK]https://www.theregister.co.uk/2020/02/05/graph_database_neo4j_chief_scientist/ [LINK]https://regmedia.co.uk/2016/04/26/graph_database.jpg

An introduction to #ontologies: "What are Ontologies and why is one studying it?" @lysander07 h/t @nicolastorzec #knowledgegraph #semanticweb https://docs.google.com/presentation/d/e/2PACX-1vQH_7xI2pRVmffDstavO3j_TaR-1WdvBUAGYRxPXMF5FJpq6dxhdnqcW0D1B0PY2d4hSobcnD8kMN46/pub?slide=id.g701464a531d25fbb_0

Big data, semantic searches, and real-time responses are the reason behind the growing demand for graph databases. This article talks about what a graph database is, why graph databases are popular, and why and when we should use a graph database.

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If you are already familiar with the graph database concept, then you know that a graph consists of vertices (or nodes) connected via edges.

OrientDB v 3.1 includes Materialized Views as a new feature.

Learn all about Neo4j's new strategic partnership with Google Cloud that delivers Neo4j as a fully managed service deeply integrated with Google Cloud Platform.

The good, the bad and the weird

A hunger inducing dataset

#Neo4j #GraphDB has added sharding @adamcowley shows when and how to use it #softwareengineering #data #tech #opensource #tutorial [LINK]https://adamcowley.co.uk/neo4j/sharding-neo4j-4.0/ [LINK]https://neo4j.com/docs/operations-manual/4.0-preview/images/fabric-single-instance.png

By treating reifications, assertions about assertions, as first-class objects in the Semantic Web, the idea of interchange between property and semantic graphs and the ability to work with graphs using a much broader set of tools opens up.

According to Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Big data combined with advances in data science approaches have provided a valuable opportunity for the pharma industry to uncover…

Why graph databases are becoming mainstream and their connection to AI, ML and big data use cases.

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Graph databases are becoming more important to analytics by offering a capability to store relationships and perform unique algorithms.

Why is it so hard to standardize a Graph Query Language ? It is because graph databases are strongly dependent on the data model and the physical layer... 37 comments on LinkedIn

AnzoGraph is now available on Kubernetes. By deploying in this environment, you can easily define and install our graph database in cluster on-demand.