
Neo4j Change Data Capture with GraphAware Hume
CDC (Change Data Capture) is a well defined software design pattern for a system that monitors and captures data changes so that other software can respond to those events.
Find out what's new in the world of mission-critical graph analytics.
CDC (Change Data Capture) is a well defined software design pattern for a system that monitors and captures data changes so that other software can respond to those events.
11 Mar 2021 by Luanne Misquitta · 2 min read Neo4j Cypher Search
Phonetic matching attempts to match words by pronunciation instead of spelling. Words are typically misspelled and exact matches result in them not being found.Algorithms such as Soundex and Metaphone were developed to address this problem and they have found usage in the areas of voice assistants, search, record linking and fraud detection, misspelled names of things (for example, medical records) etc.
24 Feb 2021 by Dr. Alessandro Negro · 7 min read Hume GraphAware
GraphAware is proud to announce the 2.7 release of Hume, our graph-powered insights engine. The release significantly enhances Hume’s knowledge graph visualisation and graph data analysis capabilities. Analysts, data scientists, investigators, and data-savvy business users immediately get the following main benefits:
12 Feb 2021 by Andrea Evangelista · 6 min read Hume Monitoring Orchestration
Enterprise Integration has existed since many, many years. Although it might seem like an old set of patterns, the reality is that more and more data silos, protocols and systems have been created in recent times which increase the need for the capabilities of an Enterprise Integration platform.
14 Jan 2021 by Nicolas Mervaillie · 6 min read Neo4j
The release of Neo4j 4.0 brought many improvements, one of them being areactive architecture across the stack, from query execution to clientdrivers. But how does that compare to other approaches ? As stated inthe reactive manifesto, areactive system is more scalable and responsive, by having a more efficient resource usage.
06 Jan 2021 by Antonin Smid · 6 min read Hume Knowledge Graph
In our last Metropolitan Art Collections post we ingested and processed part of a dataset containing more than 470,000 artworks from The Metropolitan Museum of Art and created a knowledge graph using Hume, GraphAware’s insights engine.
10 Dec 2020 by Antonin Smid · 8 min read Hume Knowledge Graph
The Metropolitan Museum of Art recently published a dataset of more than 470,000 works of art under the CC-zero License. Representing such a collection as a knowledge graph allows us to explore it in a unique way - seeing the artworks, their authors, donors, mediums, tags, or art movements deeply connected, being able to traverse the links between them and discover unexpected relations.
30 Nov 2020 by Luanne Misquitta · 6 min read Hume Neo4j ITOps
Graphs are a perfect fit for IT Operations. Right from dependency management to impact analysis and capacity to outage planning, the interconnectedness of the components that make up networks and services, modelled naturally as a graph enable various teams such as support, help desk and devops to navigate potentially complex relationships.
17 Nov 2020 by Christophe Willemsen · 2 min read Neo4j
The GraphAware team is excited to release the neo4j-sso third-party security extension, compatible with Neo4j Enterprise, version 4.0 and above.
13 Nov 2020 by Dr. Alessandro Negro · 6 min read Hume GraphAware
GraphAware is proud to announce the release of Hume 2.6. This new release brings some major updates and exciting new features to our customers. In particular: