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This post introduces what’s been happening in Spring Data Neo4j recently. You will learn about the new features and the simplification of the programming model, find out what has changed under the cover, such as smarter querying for better performance.… Learn More →
Learn all about the new Spring Data Neo4j 5.0 release and the Object Graph Mapping (OGM) 3.0 release
 

GraphGrid: A Secure Global Connected Data Platform

In early 2016, we started pioneering a unique frontier in cloud where many companies including Amazon Web Services (AWS) have not ventured: The deployment automation of secure, globally connected virtual private clouds (VPCs). We see the ability to communicate securely rather than across public internet as a baseline security requirement for any organization. Why Your Current Security Efforts... Read more →

Learn more about the GraphGrid connected data platform keeps your data secure on a global scale

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A Big Step Forward: Spring Data Neo4j 5.0 Release

This post introduces what's been happening in Spring Data Neo4j recently. You will learn about the new features and the simplification of the programming model, find out what has changed under the cover, such as smarter querying for better performance. You will also read about the upcoming features. Don't miss the opportunity to fill in the survey to bring your ideas in the roadmap! Built... Read more →

Learn all about the new Spring Data Neo4j 5.0 release and the Object Graph Mapping (OGM) 3.0 release

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This Week in Neo4j – 14 October 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Before we get to that, we wanted to say a few quick words. Our entire team is *so* excited about GraphConnect NYC coming up soon! It's only a week away before we get to see the entire community come together for GraphHack, training classes, workshops, and... Read more →

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Analyzing Twitter Hashtag Impact using Neo4j, Python & JavaScript

This is the first demo I developed with Neo4j. The objective of the demo is to open the discussion about graph databases, Neo4j, big data, analytics and IBM Power Systems with our global customers. I decided to use Twitter as a data source so that the demo leverages public data (on Twitter) and could be customized by loading the database with tweets related to a specific customer. Now, there... Read more →

Learn how to analyze the impact of a Twitter hashtag using Neo4j, Cypher, Python and JavaScript

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How Graph Technology Helps the Automotive Industry to Innovate with patedo

Abstract: KCIG, a German consulting company well-known in the automotive industry, and Structr, jointly created patedo®, a groundbreaking patent search engine, enabling engineers to query the world's patent databases in unprecedented ways to find relevant working-level information much quicker than before. Background Today, everybody is talking about self-driving and electric cars. New... Read more →

Learn how graph technology is helping the automotive industry via patedo for patent searches

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A Path to the Graph: Data Integration That Begins without Writing Any Code

Most people understand the problem in any large organization today is that the data is in silos. Data is disconnected, and as a result, a report from any one source is incomplete and not necessarily actionable to the extent it really can or should be. Reports providing unified views on integrated data from across the silos are required so people can look for information crucial to their... Read more →

Learn how FactGem's Data Fabric solution empowers data integration across numerous data siloes

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