Recent Discussions
Article Series: Scoring Concepts
This series of articles explores the foundational concepts behind building a performant and high-quality Batch Scoring solution in Quantexa. Each article breaks down a key component of the scoring process — from network generation and scoreable models to alerting and network pruning — offering practical guidance and design considerations. How will the articles help your team and deployment? Whether you're new to Batch Scoring or refining an existing implementation, this content provides a clear, structured approach to best-practice design. By understanding and applying these concepts, teams can ensure their scoring solutions are efficient, scalable, and investigator-friendly — ultimately driving better outcomes from their Quantexa deployments. Make sure you're signed in to the Commnity to access the articles. Articles in the series: Scoring Concepts: Run Date Scoring Concepts: In-Scope Customers Scoring Concepts: Scoring Levels and Scorecards Scoring Concepts: Scenarios & Risk Factors Scoring Concepts: Alerting and Re-alerting Scoring Concepts: Write-Once Steps Scoring DAG Design in Assess
Article Series: Data Ingest Fundamentals
We’re excited to introduce Data Ingest Fundamentals, a new series of articles designed to guide you through every stage of bringing data into Quantexa. This introductory set of articles covers everything from understanding data quality and designing effective document models to configuring and testing ETL pipelines, and ultimately visualizing your data in the UI. This release provides step-by-step guidance to accelerate your integration, improve data accuracy, and unlock maximum value from your Quantexa solution. Whether you're starting fresh or optimizing existing pipelines, these resources will help you confidently deliver reliable, high-quality data into Quantexa. We’ll continue to expand Data Ingest Fundamentals with additional articles that explore other key aspects of data ingestion, so bookmark this page to receive updates when new articles are published. Make sure you're signed in to the Commnity to access the articles. Articles in the series: Data Ingestion Best Practice: How Do I Ingest Data into Quantexa Understanding Incremental Mode: An Introductory Guide Data Ingestion Best Practice: How to Test my ETL Pipeline Data Ingestion Best Practice: How to Display My Data in the UI Data Ingestion Best Practice: How to Configure my ETL Pipeline Related articles: Designing a New Document Model Handling Duplicated Transactions What Makes a Good Compound
Article Series: Document Model Design
We're pleased to share our articles on Document Model Design in Quantexa. Going from data discovery and high-level designs to detailed Document models. Make sure you're signed in to the Commnity to access the articles. Defining a detailed Document model design | Quantexa Community: To develop the ETL for building Quantexa Documents from ingesting the raw data, the Engineers need a detailed model design referred to as a Document model. This article provides guidance on how to define such models in readiness for handover to development. Designing Document Model for complex transactional data | Quantexa Community: This article delves into how to design a Document model for varied transactional data. Showing the use of aggregated models and handling different nuances in transactional data through an example. How will the articles help your team and deployment? These articles are helpful for stakeholders who want to have awareness of the design process and what are the next steps after data discovery and Entity-Document model design. For those who want to know how a detailed model can be designed and can follow the guidance to make detailed models for their projects.
Scoring Concepts: Scenarios & Risk Factors
This guide explains how to differentiate between Scenarios and Risk Factors. At Quantexa, we aim to give our clients meaningful Alerts. We focus on those that pose the highest risk to investigators. This article targets Business Analysts, Business End Users, and Subject Matter Experts (SMEs). It focuses on individuals engaged in risk assessment, decision-making, or developing Scores. When readers grasp these distinctions, they can design Scores and Scorecards better. This helps us show only the most relevant risk profiles to investigators. Read the full article for: Definition of Scenarios and Risk Factors Best Practices for Setting Scenarios vs Risk Factors How Scenarios and Risk Factors affect Alerting and Re-Alerting Using Detection Packs 4. Scoring Concepts: Scenarios & Risk Factors - Quantexa Community This article explains how to differentiate between Scenarios and Risk Factors. At Quantexa, we aim to give our clients meaningful Alerts. We focus on those that pose the highest risk to investigators. This article targets Business Analysts, Business End Users, and Subject Matter Experts (SMEs). It focuses on individuals…
📖 New Article: Decision Making Beyond Local Graph Context
When investigating an Entity in the Quantexa Graph, how do you ensure you're not missing critical context? Expanding through the Graph can reveal important connections, but going too far can lead to information overload. This new article by explores how Multi-hop Graph Analysis helps investigators uncover hidden relationships by analyzing the Graph in its entirety—beyond just proximity. Using Quantexa’s Knowledge Graph framework, Matt explores an example of how this approach identified 65 new Entities linked to financial crime that weren’t flagged in public investigations. 🔎 Learn how Multi-hop Graph Analysis enhances investigations, from AML to risk management and beyond. 📖 Read the full article: Decision making beyond local Graph context - Quantexa Community Background When investigating an Entity in the Quantexa Graph, it is common for an investigator to start from the Entity in question, and expand through the Graph along related documents and Entities to find relevant linked information. This is standard practice in many contexts, for example in various risk applications,… You can also watch the webinar recording to hear from Matt directly: How Knowledge Graphs Help Identify Bad Financial Actors and Commercial Opportunities at Scale In this session, you’ll learn how multi hop graph techniques explore proximity and paths to illuminate relationships and communities of interest.Data Streaming Design Principles to Enrich Information in Kafka Input Messages
This article provides practical solution designs to enrich information in incoming messages and align them with Quantexa's Streaming Tier (Document Model) definitions, leveraging lookup principles to ensure seamless integration and efficient operation. The Quantexa Streaming Tier is a critical component for enabling near-real-time data ingestion and processing. Ensuring that input messages adhere to the required schema and include necessary data is essential for maintaining system performance, reliability, and data integrity. Log in to read the full guide on Data Streaming Design Principles to Enrich Information in Kafka Input Messages, including: Conforming Data Using a Mapper Application Data streaming lookup design architecture Lookup considerationsDesigning a Kafka Solution to Meet Functional and Non-Functional Requirements Beyond Quantexa
Designing a Quantexa streaming solution that addresses both functional and non-functional requirements can be challenging, especially when specific use cases require capabilities beyond the OOB functionalities of Quantexa platform. While some extensions may be necessary to meet these requirements, it is important to avoid unnecessary customizations and follow Quantexa’s best practices to ensure the solution remains: Future-proof: Ready for platform upgrades and changes. Aligned with industry standards: Compliant with recognized guidelines and practices. Optimally performing: Delivering high efficiency and responsiveness. Scalable: Easily adaptable to growing data and user demands. Seamlessly integrated: Enhancing operational efficiency within the Quantexa ecosystem. This article explores how to design Kafka streaming solutions that address unique requirements while staying aligned with Quantexa's best practices, minimizing customizations, and leveraging the platform’s capabilities effectively. Read the full article (login required): Designing a Kafka Solution to Meet Functional and Non-Functional Requirements Beyond QuantexaExplore the Latest Articles in the Community Library 📚
Our ever-growing Community Library is filled with articles, blogs, and useful resources. Check out the latest articles below, whether you’re just starting out with Quantexa or a seasoned pro, there’s something here to help everyone learn and flourish. Service Operations 📖Quantexa Monitoring Series 📖Quantexa Platform Monitoring 📖Quantexa Platform Monitoring - Key Metrics and Log Entries 📖Quantexa Platform Monitoring - Moving Beyond the Minimum 📖Quantexa Application Monitoring - Introduction 📖Quantexa Application Monitoring - Getting Started with Toolchains Service Build and Transition 📖2.7 Quantexa Upgrade Guide 📖How to make the most out of Intellij IDEA 📖Running a Data Discovery Process 📖When and How to Use DQA Statistics Functionality 📖Project Management Best Practices: An Upgrade Journey 📖Docker for Quantexa Implementations 📖Spark Cluster - Resource Management Service Design 📖Setting Up Infrastructure and Underlying Platforms 📖Setting Up Infrastructure and Underlying Platforms: Cloud Edition 📖Setting Up Infrastructure and Underlying Platforms: On-Premise Edition 📖Using QPython for Analytics and Data Science Teams 📖Quantexa Platform Security Design for Solution ArchitectsUpgrades Collection
Below you can find links to all the articles and discussions relating to Upgrades in the Community. 🗒️Articles available to everyone So You Want to Perform an Upgrade? Project Documentation to support you in upgrading Quantexa 🔒Log in required Development: Upgrade Guides 2.7 Quantexa Upgrade Guide What's it Like to Perform an Upgrade? When and Why to Consider a Reset Upgrade How To Test Your Upgrades Managing Batch Runs during Quantexa Upgrades Project Management Best Practices: An Upgrade Journey Bookmark this thread and be notified whenever we publish a new article on Upgrades. To bookmark a thread, click the chevron icon next to the title of the post.Deployment Collection
Below you can find links to all the articles and discussions relating to Deployment in the Community. Deployment is the process of integrating a piece of software, such as The Quantexa Platform, with client systems, and making it available for users and other programs. For production Quantexa deployments, the workflow often uses Kubernetes as a container management platform. Other common deployment methods include deploying the platform inside Docker containers or as individual JAR files that are run on a host server. 🗒️Articles available to everyone Become a Quantexa deployment wizard! - launching Quantexa's Deployment Engineering Best Practices! Elasticsearch Considerations For Quantexa Quantexa deployment patterns best practice Quantexa deployment for multiple use cases There and back again (and again) - Quantexa's approach to deployment Underlying platforms used by Quantexa New Features in Spark 3.x So you want to perform an upgrade? 🔒Log in required How to use Helm to deploy Quantexa Bookmark this thread and be notified whenever we publish a new article on Deployment. To bookmark a thread, click the chevron icon next to the title of the post.
