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1. Using Quantexa Kafka Streaming for the First Time
Quantexa integrates Kafka as its primary streaming platform to process, ingest, and generate networks in near real-time, leveraging its powerful Entity Resolution, and Big Data capabilities. Quantexa provides out-of-the-box applications such as Kafka Record-Extraction and Kafka Document-Ingest, designed to streamline data…
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2. Designing 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 crucial to avoid…
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3. 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. Introduction The Quantexa Streaming tier is a critical component for…
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4. Lessons Learned from a Streaming Lending Fraud Project
Introduction This blog shares insights into the challenges encountered during a complex streaming project focused on Lending Fraud detection. The solutions implemented and key lessons learned are derived from a real-world project aimed at achieving two primary objectives: Decommissioning a legacy system – replacing the…
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5. Maintaining Message Ordering in Kafka for a Quantexa Streaming Solution
Correct message ordering is critical in a Quantexa Kafka streaming solution to ensure functional accuracy and reliable data processing. This article explores how to design and configure Kafka to maintain message ordering across different topics, particularly internal topics used by Quantexa's Streaming tier to trigger…
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6. Searching Entities from the Quantexa Entity Store Without Document Ingestion
Designing solutions that leverage the Quantexa Entity Store often requires a flexible approach, particularly when you need to test or retrieve Entities without fully ingesting a Document into the platform. In such scenarios, Quantexa’s Search Related Entities REST API provides an efficient means to query Entity Store,…
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7. Optimizing Entity Resolution and Graph Expansion to Enhance Performance of Streaming Solutions
Introduction Entity Resolution (ER) and graph expansion are fundamental components of high-performance streaming solutions, particularly in near real-time detection use cases. These processes help identify Entities, relationships, and connections that support risk detection, fraud prevention, and other analytical…