Blog Big Data Analytics Hadoop Spark Python

“Big data” grows bigger every year, and today’s enterprise leaders critically need to generate insight from their existing data.

Ontotext is releasing GraphDB 8.7 - the latest version of its semantic graph database adding support for concept-matching in knowledge graphs thanks to a new plugin returning similar terms

Whether you’re creating a new graph data model and queries, or exploring an existing graph dataset, it can be useful to have an interactive query environment that allows you to visualize the results. In this blog post we show you how to achieve this by connecting an Amazon SageMaker notebook to an Amazon Neptune database. […]

Azure Cosmos DB is Microsoft's globally distributed, multi-model database service for mission-critical workloads.

Today at the Microsoft Build Conference 2018 in Seattle, we are excited to announce several new capabilities all of which are intended to enable you to easily build your mission-critical, globally ...

We are pleased to announce that Spring Data Gremlin is now available on Maven Central and source code on GitHub. This project provides Spring Data support for Graph databases that use Gremlin as a ...

Learn how to create a graph with the Azure Cosmos DB Graph API.

Going Social with the GRANDstack starter

Inheritance and Generic Types For Your GraphQL Schemas

Learn how to use Neo4j to integrate a BigQuery public dataset with Stackdriver logs into a graph database, to surface new conclusions from complex data.

Acquiring an audience for any website isn’t about hooking readers once. It’s about keeping them coming back. With ambitions to grow, Diply—a leading entertainment and lifestyle publisher based in Canada, with offices in Toronto, London, Ontario, and New York City—turned to Microsoft Azure Cosmos DB to drive personalized article suggestions to entice visitors to read more. Diply found Azure Cosmos DB to be cost-effective, reliable, and scalable. The company plans to use its new extensible infrastructure to further improve results with features such as advanced analytics.

Gain a basic understanding of graph-based meta data management in enterprise data governance with Apache Atlas as a prime example.

Learn how to manage Azure Cosmos DB resources by using the Azure portal, PowerShell, CLI, and Azure Resource Manager templates

Learn use cases for training machine learning with graph features and improving machine learning accuracy With graph-based features.

This article will explain how to create property graphs in AnzoGraph, including loading and inserting properties, and how to query your property graphs.

This article takes a look at insight into evaluating a graph database gained from benchmarking different graph databases. Also explore loading capabilities.

Recently, LogicGate’s engineering team undertook the effort to migrate our application from a relational database to a graph database. To…

.NET sample of Bulk Executor Utility for Azure Cosmos DB Gremlin API - Azure-Samples/azure-cosmosdb-graph-bulkexecutor-dotnet-getting-started

A more handy way to use SPARQL data in your web app - D2KLab/sparql-transformer

Elixir Client for Gremlin (Apache TinkerPop™). Contribute to Revmaker/gremlex development by creating an account on GitHub.

Enables Users to Experience the World’s Fastest Graph Analytics Platform Designed to Unleash the Power of Interconnected Data for Deeper Insights and Better Outcomes

In this instalment of the QuickGraph series, I’ll show how to map a graph stored in Neo4j to an ontology (or schema, or vocabulary…) using the neosemantics extension.