Top Blog Posts of 2019
With 2019 having come and gone, we’ve decided to take a look back at some of the posts our viewers enjoyed the most! From tracking and visualizing your data to understanding the ecosystem of graph technology, how it can be applied to various use cases, and more! We hope you enjoy and stay tuned for what’s in store this year!
1. How to Track and Visualize Data Lineage
Data lineage is about tracking the flow of information. It is necessary to guarantee the quality, usability and security of your data. For large organizations, it is also a key conformity requirement. Unfortunately, many organizations are missing this ability to connect the data together because of regulatory constraints, complex technology and scattered data.
2. VAT Fraud: The Mysterious Case of the Missing Trader
We have explored in the past how businesses are targeted by fraud schemes. Countries too are victims of fraud. In Europe the Value Added Tax (VAT) is manipulated by criminals that can win hundreds of millions. Let’s see how these VAT fraud rings operate and how to use graph technologies to detect them.
3. How to use Graph Technology to Identify Criminal Activities in Call Records?
Call records are a great source of information on real-life networks, but finding insights from intricate datasets can be hard. In this blog post, we show how to use graph technology to analyze call records and identify potential criminals. We wrote this article with the assistance of Ashley Englefield, a Detective in California and an instructor at Police Technical.
4. The GraphTech Ecosystem 2019 – Part 1: Graph Databases
This post is part of a series of 3 articles about the GraphTech ecosystem. This article is the first part and covers the graph database landscape. The second part is about graph analytics frameworks and the third part lists the existing graph visualization tools.
5. Linkurious Enterprise 2.7: Automate your Investigation Workflows with Query Templates
This new version of Linkurious Enterprise ships with the second iteration of the Query Template that lets you turn repetitive investigation workflows into simple forms or buttons. We redesigned the query panel to improve the investigation experience. This release also brings support for Docker container deployment and Neo4j 3.5 Search.
6. How to visualize DSE Graph Data
Linkurious Enterprise is a turnkey solution for investigation teams who need to detect and investigate threats hidden in graph data. In this post, we explain how to connect the platform to DSE graph database and how to visualize DSE Graph data.
Want to learn more about Linkurious and how to leverage your own data with graph visualization? Feel free to contact us!
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