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Using Entity-Entity for the first time
In this blog, we ask Rosie Lang (Principal Data Engineer at Quantexa) to share her experience and walk us through the set up and use of Quantexa's Entity-Entity, a feature which allows you to see how individual Entities are associated. So what’s Entity-Entity all about? Figure 1. Entity-Entity Entity-Entity allows you to…
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Introduction to Quantexa Education Services and the Quantexa Academy
✍Education ServicesAs part of the Customer Success Team, the Education Services Team is dedicated to transforming the learning experience for Customers and Partners by providing quality training content and support. The Quantexa Academy is a modular learning experience that teaches individuals the key skills needed to…
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Underlying platforms used by Quantexa
Introduction Quantexa makes extensive use of underlying platforms to enable it to operate at reliably at scale. When choosing these platforms the key principles were that they should be: Open source such that customers would be able to deploy them without incurring licence costs Widely adopted such that there is a large…
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So you want to perform an upgrade?
Why are upgrades so important in the tech industry? To keep your data secure. Critical to security, upgrades come with the latest versions of third party software, reducing risk from vulnerabilities, such as the Heartbleed Bug which affects older versions of openSSL. To take the latest features. Upgrades come with a host…
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Introducing the Latest Quantexa Module: QPython
In this article, we'll introduce QPython and give some examples of how your data scientists could use it for interacting with the Quantexa platform. The Quantexa Decision Intelligence Platform is a powerful tool underpinned by a set of capabilities for performing complex analytics with Quantexa-processed data, such as…
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Predicting Risk through Network Shape
Encoding network shape has been a big factor in the success of our recent shell company detection machine learning model. Central to the model is the ability to evaluate the context of a business – given by the network of nodes surrounding it – in a way that can be input into explainable ML models. Early on in our…
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Using Assess Dynamic Scoring for the first time
This blog is about getting a simple Dynamic Scoring pipeline off the ground in Quantexa version 2.0.0, to get some Scores showing in your User Interface (UI). So what’s Assess Dynamic Scoring all about? Figure 1. Assess Dynamic Scoring Compared to getting basic Dynamic Scoring working in Scoring Framework 1 (SF1), it’s…
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Quantexa Academy - Using Gradle effectively
Summary - We use Gradle to build and compile our projects with simple commands that do a lot for us in the background. Avoid doing full build commands (gradle build) unless absolutely necessary, and instead build specific components/JARs as this will be much faster. Finally, you can chain Gradle commands together into…
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Quantexa deployment patterns best practice
Introduction Quantexa deployments require a simple set of underlying components: Distributed Spark cluster for Quantexa batch data processing Container platform to serve the Quantexa UI and microservices Elasticsearch for serving data to the mid-tier RDBMS for storing user state in the mid-tier Along side these you will…
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Using Data Fusion for the first time
This is a blog about setting up and using a low-code, data ingestion simplification feature known as Data Fusion, which is designed to allowing richer data sets to be ingested more quickly, speeding up ROI, and provides a basis for the most valuable insights possible. So what’s Data Fusion all about? Figure 1. Data Fusion…