GraphNews

In this episode of the ARCHITECHT Show, founder and CEO Emil Eifrem discusses the sustaining value of graph databases, more than a decade since the first release of Neo4j and terms like "social graph" and "knowledge graph" became commonplace. Eifrem also talks about the business of NoSQL and details the 5 factors -- focus, pervasiveness, ecosystem, data, vertical integration -- he believes can help infrastructure companies compete against similar offerings from large cloud providers. Before the Eifrem interview, host Derrick Harris speaks with founder and CEO Gleb Budman about his company's...

Payday loans are daily life emergency savers. Get a chance to release yourself from a financial burden by knowing how it works online.

As a data modeler I’m always searching for ways to learn more about data modeling. The more I read and learn about it – on top of what I have already learned and used -, the more sense it all…

This article shows how an RDF Graph CRUD application can be rapidly developed, yet without losing the flexibility that HTML5/JavaScript offers, from which it can be concluded that there is no reason preventing the use of RDF Graphs as the backend for production-capable applications.

This VLDB'15 paper is authored by people from the Cosmos DB team and Microsoft research. The paper has "DocumentDB" in the title because Do...

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The full sample can be found on Github : https://github.com/TimLariviere/Sample-FSharp-AzureCosmosDb

Did you ever dream about becoming a famous detective? A new (teenage, possibly) Sherlock Holmes? Well, in the area of Data Modeling you now have good chances of showing off how good you are at detecting. What? Well, detecting the data models from evidence, of course.

There have been some exciting developments of late in the Semantic Web and Technology space. Semantic Technology trends in 2018 will continue to advance many of the trends discussed in 2017 and build upon a number of new changes just entering the marketplace.

Among the Neo4j 3.4 database enhancements are horizontal scaling, 3D geospatial search, performance improvements of more than 50 percent and numerous operational improvements.

New software-as-a-service application automatically adds and removes query processing capacity to a database cluster as workload demand rises and falls, resulting in agility and responsiveness for end...

UC San Diego Professor to Spearhead TigerGraph’s Technical Innovation and Strategy for its Graph Analytics Platform

The graph database market size was valued at USD 700.0 Million in 2017 and is expected to reach USD 2,409.1 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 24.0%.

A talk with Andrea Volpini about the Web, AI, data, WordLift and a bit of transcendental meditation.

The year of the graph is here. Do you really need a graph database, and, if yes, how do you choose one?

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.