Announcing our latest Community Member Spotlight... @fshahin31
Announcing our latest Community Member Spotlight... Faheem was one of the first Community Members back in December 2022. Since then, he's been asking excellent questions to help implement the Quantexa Platform and, more recently, sharing tech tips to help out other Community Members - which has earned him the accolade of our December Community Member of the Month 👏 Faheems is a Data Engineer with NextWave Consulting, we caught up with him to learn more about his experiences with Quantexa. How long have you been using Quantexa and what version do you use? I am currently using version 2.6.8 and have been using Quantexa since June 2022. What’s your favourite thing about the Community? My favourite part of the Community is how easy it is to find solutions or similar errors to the ones I'm facing. The threaded discussions make it simple to understand how the original problem was tackled, which really helps improve my approach to various challenges on my project. It's also great for staying up to date with the latest Quantexa updates. How often do you use the Community? I use the Community most days. What’s the best feature of the Quantexa platform? The best feature of the Quantexa platform has to be its User Interface (UI). It offers an easy and comprehensive view of vast amounts of data, which really helps us to understand the relationships in our data. Plus, the ability to customise UI components, like attributes and key client information, makes it even more engaging and useful. What’s the life hack everyone should know? One of the best productivity hacks I've found is using tools like 'Pomodoro timer' to focus on work in blocks without distractions. Also, I've been using an app called Opal which stops me from endlessly scrolling on my phone by removing access to certain apps for whatever time period I set. It's honestly a game-changer! Tell us a fun fact about yourself! I'm a very big fitness enthusiast who regularly goes running, gym, and CrossFit with my sight set on a 1:35:00 Brighton half marathon time in March 2025. And hopefully, work my way towards my first Hyrox in 2025/26! As a Member of the Month, Faheem will receive our December Member of the Month badge (worth 100 points) and a box of community-branded goodies. Want to know more about NextWave Consulting? Read 's 'A Day in the Life of… a Global Partner' article. The views and opinions expressed in this communication are those of the individual and do not necessarily represent the official policy or position of NextWave.
🔧 Common Errors 🔧
Introducing Common Errors - a new series of articles troubleshooting error messages and issues that are frequently searched for by you - our Quantexa Community users! These guides will provide debugging tips, configuration examples and references to relevant pages on the Documentation site or related Community posts, and will act as a resource to help you identify troubleshooting steps you can take before seeking any additional support. Where do I find them? Jump directly to our Common Errors section of the Community Library, here: https://community.quantexa.com/kb/categories/87-common-errors OR Click on the shortcut to ‘Common Errors’ under Quantexa Platform Links - you’ll find this on the right hand side of the Quantexa Platform Topic page OR Navigate via: Help & Learning > Platform Documentation > Support > Common Errors Please log in, or sign up, to unlock the first (of many!) series of Common Errors articles: Troubleshooting on Dependency not found The investigation could not be fetched / timed-out Error loading libpostal parser modules Otherwise known as: Could not find org.springframework.boot:spring-boot-starter-test:2.3.10.RELEASE | spring-boot-starter-test | AskTimeoutException | Failed: ErrorResponse(Investigations request failed, Status: 503 Service Unavailable | 503 | Investigation Datasources🔎 Data Fusion: qmodels and qentities
Models and qmodels Models are a type of file in Data Fusion that represents a Document in your system, such as a: Customer Watchlist Transaction A Model contains a collection of fields, attributes, and inputs, depending on the data in the associated Document. Model configuration files have the extension .qmodel, such as customer.qmodel. After loading the data, you can represent it in The Quantexa Platform as Nodes within a Network. Entities and qentities Entities are created by associating data Records that represent something in the real world, such as information found in Documents about an individual, address or bank account, which is then resolved to form an Entity, such as an Individual, Address, Email or Business Entity. Entities are represented in the UI as Nodes and can be changed or adjusted using Entity Lab. 🔎 Interested in learning more? Why not explore these Community posts (did you know if you're logged in, you'll unlock even more resources): Designing a New Document Model Qmodel Qentities Or further Documentation can be found on the Docs site: How to configure Models and the different types of Models Entities and qentities
Scoring Concepts: Alerting and Re-alerting 📖
Alerting is the name for the process that comes after Scorecard creation and before Task loading into a Quantexa Deployment. Alerting decides which Subjects in the Scorecard output should alert to the end-users. Re-Alerting is an Alerting process that occurs after the first Alerting cycle, when new Scorecard data becomes available. Re-alerting logic compares a Subject's Scorecard output with all previous Scorecard outputs. The aim of this process is to ensure that there is new material risk that an Investigator would like to review. It is strongly encouraged that all deployments with Batch Scoring implement Alerting. Read about the Alerting Framework, Alerting Threshold, and Score Types in Scoring Concepts: Alerting and Re-alerting. Read the full article (login required): 4. Scoring Concepts: Alerting and Re-alerting - Quantexa Community This article builds upon the concepts introduced in Scoring Concepts: Scoring Levels and Scorecards. Alerting is the name for the process that comes after Scorecard creation and before Task loading into a Quantexa Deployment. Alerting decides which Subjects in the Scorecard output should alert to the end-users. Re-Alerting…
Tips & Tricks for Managing Large and Complex Networks - Update for 2.5 & 2.6
As an investigator you may have found that the use of entities and networks are helpful for identifying potential risk in the investigation process, using connections across documents and entities. However, seeing all the available data connected by way of transaction flows, trades, direct links or indirect links can present its own challenges. Substantial amounts of data in a network can sometimes be difficult to navigate. Where do you start? How do you find how many hops to expand then stop? What do you do with the information which is no longer useful to the investigation? Read the full article Tips & Tricks for Managing Large and Complex Networks for the latest functionality which can help simplify how to view and use networks to their full potential. Tips & Tricks for Managing Large and Complex Networks - Quantexa Community As an Investigator, you may have found that entities and Networks are helpful for identifying potential risk in the investigation process, using connections across documents and entities. However, seeing all the available data connected through transaction flows, trades, direct links, or indirect links can present its own…
Common Elastic Loader errors
For common elastic loader errors, such as load elastic job failing, read Common Elastic Loader errors (login required) on our Docs site. You'll find some common Elastic Loader failure cases, and how to address them. The errors apply to both the Resolver-Search Elastic Loader and the Generic Elastic Loader. These include: Connection issues Performance issues Elasticsearch is overloaded Spark is running out of memory Count validation failure Data could not be indexed Did you know you can also click the elastic-loader tag and then filter to find Questions with an answer that is Accepted by the Community?
Tips and Tricks for Understanding Entity Lab
Entity Lab can be quite complex to understand and review when searching for Entity Resolution problems. To help with this, we've compiled some tips and tricks for what to watch out for that may help you quickly understand the health of your entities as well as some common shapes you may encounter, including: Signs of Possible Overlinking Signs of Underlinking Possible Aggregation Issues Read the full article: Tips & Tricks for Understanding Entity Lab (login required) Tips and Tricks for Understanding Entity Lab - Quantexa Community Entity Lab can be quite complex to understand and review when searching for Entity Resolution problems. Below are some tips and tricks for what to watch out for that may help you quickly understand the health of your entities as well as some common shapes you may encounter. Signs of Possible Overlinking Look for lots of…📚 Kafka Data Ingest
Kafka Data Ingest handles near real-time ingestion of raw Documents into the platform. This enables you to perform ad-hoc Document ingestion and implement larger-scale integrations with event-streamed data sources. Kafka Data Ingest consists of two sets of services, each running within a separate application: Record Extraction service: The Record Extraction service handles the Cleansing, Parsing, and extraction of Records from raw Documents. Document Ingest service: The Document Ingest service loads extracted Records to Elasticsearch for use within Quantexa services and the UI. Read more about Kafka Data Ingest on the Documentation site. Note: Kafka Ingest was referred to as Kafka Loader before version 2.1.
New guide: Using the Entity Quality Underlinking (EQU) tool for the first time 📖
The Entity Quality Underlinking (EQU) tool is a powerful resource for tuning and monitoring Entity Resolution. Using the Entity Quality Underlinking (EQU) tool for the first time is a detailed guide to implementing the Entity Quality Underlinking tool, including its design, implementation tips, and practical use cases. Why is the Entity Quality Underlinking Tool useful? The Entity Quality Underlinking Tool helps you: Identify underlinked Entities and analyze root causes through manual examination in the UI. Measure the extent of underlinking over time, especially when tracking this metric in Production. Adjust Entity Resolution templates to address Overlinking issues identified earlier. What does the Entity Quality Underlinking Tool do? Monitoring and Tuning: The Entity Quality Underlinking Tool supports both tuning iterations and ongoing Entity Resolution monitoring. Analysis: It observes the similarity of Entity Elements and identifies potentially underlinked Entities. Output: The Entity Quality Underlinking Tool generates: Summary Statistics for tracking improvement or ongoing performance metrics. Potentially Underlinked Entities for investigation in the User Interface (UI). What’s in the guide? Step-by-step instructions for implementation. Design considerations for effective use. Tips to ensure smooth implementation and accurate results. Read the full article for a comprehensive understanding of how to integrate the Entity Quality Underlinking Tool into your Entity Resolution processes (login required): Using the Entity Quality Underlinking (EQU) tool for the first time - Quantexa Community This article details the implementation of the Entity Quality Underlinking (EQU) tool, developed to assist when tuning Entity Resolution. What is EQU? The EQU tool is used as part of Entity Resolution Tuning and BAU Entity Resolution monitoring. It observes the similarity of your Entities' Elements and identifies whether…
FAQ - List of Academy Frequently Asked Questions
Below is a list of FAQ's for the Quantexa Academies. Have an idea for an FAQ? Please let us know by emailing training@quantexa.com with the idea or by commenting on this post here! General Quantexa Documentation Links for the Academy Gradle taking too long to index I tried to run a spark shell script and got a "Permission denied" error message My Quantexa Licence has expired, how do I update it? I'm trying to run a script and seeing an error about "Unrecognized option: -s" Fusion What are Document Attributes used for? What are Entity Attributes used for? What are (Entity) Records? What are Traversals? Elastic Elasticsearch "cluster health: Not connected" in Chrome / "Connection refused" when running Load script error I'm missing data in Elasticsearch / my number of docs are wrong Resolver Config Why are search constraints not working & how to use wildcards (* characters) within field sets? How can I configure the timeline? Batch Resolver (ENG) I tried to run Batch Resolver (ENG) but got an error about Timestamps / Dates Scoring My score isn't triggering / doesn't appear in the UI How can I handle dates when writing a Quantexa Score in Scala? Checking Score Outputs (Optional Sink Step) UI I tried to start my UI but some of the apps didn't start up / I got a UI error Search configuration could not be loaded in the UI I can't find Addresses or Individuals when I search in my UI! Data / Attributes aren't showing up in my UI! VDI VDI Usage and Common Issues I'm having trouble pasting into my VDI Admin I can't access a website or course BA Academy List of Technical Business Analyst (BA) Academy Frequently Asked Questions Don't forget to bookmark this page in the upper right corner to save it for easy access.
