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1. Data Quality & the Importance of Reliable Data
Data quality is the measurement of data in terms of accuracy, completeness, consistency, validity, uniqueness and timeliness. It enables businesses and organizations to quantify and better manage their data. Machine learning (ML) is one of the biggest value-adds for businesses, and at the heart of every machine learning…
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1. ER Tooling List
This article provides information about the various Entity Resolution Tools which can be used on projects. Typically these tools are most relevant to Implementation Engineers or Senior Users very interested in understanding the detail of Entity Resolution within their deployments. Ultimately, all the tools intend to help…
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1. Generating Data for the Quantexa Platform
It is standard practice for Quantexa engineers to develop in non-production environments with no access to real data. These environments are used to validate code changes and assess regression impacts prior to production releases. Generated data is used as a substitute for real data in these cases to enable running ETL and…
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1. 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 of…
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1. There and Back Again (and Again) - Quantexa's Approach to Deployment
So, you've merged your final Pull Request after the CI pipeline turned green - it's time to deploy Quantexa to a shared environment for the first time. Taking a piece of enterprise software from a laptop to a distributed, robust, central location is an important journey that you will take again and again. It's also one…
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1. 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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1. Using Entity-Entity for the First Time
In this article, 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…
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2. Best Practice: Data Generators
Data generation can be an invaluable and often crucial part of a Quantexa deployment. This post aims to explore the benefits of adding data generators. It will provide guidance on best practices for implementation and go over some custom examples. Why Generate Data? Either out of necessity or to improve the development…
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2. How to Use Helm to Deploy Quantexa
This article provides an overview of Helm and how it can be used by DevOps teams to easily deploy Quantexa (and many other applications) in Kubernetes based deployment architectures. It outlines the many benefits that Helm provides to make repeatable, production ready deployments. It also covers how the Quantexa Helm Chart…
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2. Using Base Entity Resolution configuration for the First Time
This blog discusses starting a deployment using base Entity Resolution configuration with the Quantexa On-demand Demo and Data Packs. What are the Quantexa On-demand Demo and Data Packs? The Quantexa On-demand Demo is a best practice demonstration of how to apply Quantexa’s Entity Resolution using Data Packs. All…