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1. Introducing 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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2. Elasticsearch Considerations For Quantexa
This article discusses the key considerations for solution architects and data engineers when deploying Elasticsearch (sometimes referred to as Elastic) for Quantexa. It's useful, though not essential, to have a high level understanding of Quantexa in general, such as how we use Document, Entity and Compounds. 💡Notes /…
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3. An Introduction to Knowledge Graphs and qKnowledgeGraph
This article introduces Knowledge Graphs at an introductory technical level. Note that: QKnowledgeGraph is the analytics library for working with Knowledge Graphs Knowledge Graphs created by Quantexa are the graphs created and analyzed using QKnowledgeGraphs In an introductory Quantexa blog, we introduced why knowledge…
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4. 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…