JanusGraph User Group Meet Up
The focus of this webinar is to discuss advanced topics and offer an open Q&A session with JanusGraph users and contributors.
Linking Unstructured Data Using Machine Learning
Using unsupervised machine learning, we relate documents together based on their content. This analysis operates directly on the text in the documents, building up clusters of similar context so that an analyst, or another algorithm, can investigate all of their company's data on a single subject.
Developing a JanusGraph-backed Service on GCP
The graph database space is rapidly expanding as more and more companies identify potential use cases that require the traversal of highly connected network and hierarchical data sets in ways that are cumbersome with RDBMSs and NoSQL solutions.
Customer 360: Financial Services
Graph, Enterprise search, and enterprise analytics for financial services. Specific topics include customer 360, best next conversation, cross-sell and up-sell for product recommendation, and churn avoidance.
Data Day Texas: The State of JanusGraph
Ted Wilmes discusses the state of JanusGraph in the year 2018. Throughout the session he touches on where we are in the world of graph, what is new, and where JanusGraph and Apache Tinkerpop are headed.