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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 data sets.

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JanusGraph Nuts and Bolts Part 2: The New CQL Adapter

Speed up your JanusGraph queries with these tuning tips and the new CQL storage adapter.

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Customer Satisfaction Scoring Using GraphML

Graham Ganssle, Ph.D., P.G.

Find dissatisfied customer cohorts and evaluate intervention measures using graph machine learning.

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All Blog Posts On This Topic

Building a Distributed Data Ingestion Pipeline

Learn how you can build a flexible data ingestion pipeline to handle highly varying data sources into your distributed NoSQL ecosystem.

Amazon Neptune: First Impressions

As of late Q2 of 2018, there’s a new entry into the graph database marketplace, Amazon Neptune.

Getting Started with Graph on CosmosDB - Part 1

The property graph database space has been dominated by a handful of names who on balance are not that big in the software marketplace generally speaking.

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 data sets.

JanusGraph Nuts and Bolts Part 2: The New CQL Adapter

Speed up your JanusGraph queries with these tuning tips and the new CQL storage adapter.

Customer Satisfaction Scoring Using GraphML

Find dissatisfied customer cohorts and evaluate intervention measures using graph machine learning.

Graham Ganssle, Ph.D., P.G.

2018 is the Year of the Graph

A practical guide on some of the main players in the graph database marketplace.

Fraud Detection Using Deep Learning

How to detect both credit card fraud and money laundering using graph and machine learning.

Graham Ganssle, Ph.D., P.G.

Node Classification by Graph Convolutional Network

Leveraging the natural structure of data, graph convolutional networks produce optimal predictions of node properties.

Graham Ganssle, Ph.D., P.G.

JanusGraph Nuts and Bolts Part 1: Write Performance

Explore your tuning options for increasing JanusGraph write throughput and lowering latencies.

To Catch a Thief… You Need Entity Resolution

FBI’s use of machine learning based entity resolution to catch criminals and fraudulent activity.

Graham Ganssle, Ph.D., P.G.

Order Matters: Handling Message Sequencing in Spark

Messages coming into your Spark stream processor may not arrive in the order you expect. Learn how to handle the unexpected.

Schema Support in Three Property Graph Databases

Support for database schemas is at its nascent stages in the evolving property graph space.

Microsoft Cosmos DB Graph and Dropwizard-TinkerPop

Learn how to connect to connect your next Dropwizard app to Microsoft’s new Cosmos DB graph layer.

Web Design, Courtesy of AI

Can an AI learn to write better looking websites than a human? Frighteningly, yes.

Graham Ganssle, Ph.D., P.G.

What Machine Learning Can Learn from Graph

Graphs are rich data structures that can be used to improve the accuracy and effectiveness of machine learning workflows.

Use Real-time Graph Technology to Detect and Prevent Fraud

Learn how Graph Technology can help to identify risk and fraud patterns in order to quickly respond.

Dave & Ted’s Excellent Traversal Adventure: Graph Databases & Gremlin Part 2

Dave and Ted discuss Graphday and their thoughts on DSE, Neo4j, Microsoft's CosmosDB, and JanusGraph.

Building a Microservice Using Dropwizard and JanusGraph

I'll discuss the process of building a micro service that is backed by a graph database and the technologies leveraged to accomplish it.

To Pay or not to Pay…

We get asked that question a lot given our early customer work with Titan evaluations, participation in the JanusGraph project and usage of Apache TinkerPop.

With All of the Graph DB Options, Now is the Time to Learn Gremlin

DataStax released 5.1, Neo4j released 3.2, Microsoft announces CosmosDB; there’s a lot of stuff happening in the graph database world. Looks like a prime time for some Gremlin training.

Bring Game-Changing Insights to Your Business with Graph

When it comes to data-driven user interfaces, like those utilizing graph data, it’s vital to understand your users and what they’re trying to achieve.

Minding the Sharp Edges: UX Considerations with Graph Data Part 1: Challenges & Opportunities

Graph Database Evaluations

DSE Graph Partitioning Part 2: Taming your Supernodes

A supernode is a vertex with a large number of edges. In graph theory, these high-degree vertices are known as hubs.

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