With the aim to monitor, prevent, and predict cyber attacks on various systems and infrastructures, the cyber defence company needed a solution to ingest and connect all available data and discover threat patterns.
Graph Databases are naturally well-suited for building recommendation engines. In this talk, Christophe will share his experience building a number of production-ready recommendation engines using Neo4j and introduce the open-source GraphAware Reco4PHP Library, which enables PHP developers to rapidly build their own recommendation systems.
Building Spring Data Neo4j 4.1 Applications Like A Superhero: The latest release of Spring Data Neo4j 4.1 offers advanced features to map your Java domain models to the Neo4j Graph Database. Powered by the Neo4j-OGM library, it offers you the convenience and familiarity of Spring-based programming. After this introductory tour of its features, followed by a demonstration of how easy it is to rapidly build an application, you’ll have the confidence to start developing with Spring Data Neo4j 4.1 today.
A great part of the world’s knowledge is stored using text in natural language, but using it in an effective way is still a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amount of data and converting it into a useful source of knowledge for further processing. By Alessandro Negro, Chief Scientist, GraphAware.
Bryce Merkl Sasaki from Neo4j chatted with Christophe Willemsen, our Senior Neo4j Consultant Christophe and Bryce spoke at GraphConnect San Francisco last October.
Bryce Merkl Sasaki of Neo4j interviews Luanne Misquitta, Senior Consultant at GraphAware, during Graph Connect Europe 2016. Luanne Misquitta talks about Spring Data Neo4j 4.x, a completely rewritten version of SDN to support a high performance object/graph map. Version 4.1 supports both an embedded library as well as Bolt, the new binary protocol for Neo4j.
The Dataportal is a data resource search engine which connects users with visualizations, tools, curated data, and metrics to do their job more effectively. It aids with data discovery, trust, and empowers Airbnb employees to be “data informed” in their decision making, and encourages a culture of self-service.
Real-Time Recommendations with Graphs and the Future of Search: Michal Bachman, Managing Director, GraphAware. Michal talks about how they use Neo4j in combination with Elasticsearch to power real-time recommendations.
Applying the GraphAware Framework. #GraphConnect, #Neo4j, #Michal Bachman, #GraphAware, #GraphAware Framework