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Check out the latest conversations across the Quantexa Community. Did you know you can filter for ideas, discussions & questions and also by status - for confirmed answers, select 'accepted'
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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…
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Introducing the Quantexa Streaming Best Practice Hub
We're excited to announce the launch of the Quantexa Streaming Best Practice Hub – a curated collection of technical guidance, real-world examples, and expert insights to help you build smarter, faster, and more maintainable streaming solutions on the Quantexa Platform. Whether you're an Engineer, Architect, or Product…
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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 important to avoid…
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📚 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…