Modern kdb+ Deployments and Deep Learning
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Modern kdb+ Deployments and Deep Learning

05 March Online

About this event

Details

⚠️ Please don't forget to provide your full name and an identification document (ID, passport, etc.) in the designated field during registration. It will be mandatory to present this document on the day of the event to gain access to the Triple.

This international group, headquartered in Madrid, is dedicated to promoting the q programming language, the kdb+ database, and their ecosystem. All talks are technical and conducted in English, with a focus on creating a hybrid experience (in-person + streaming). If you like elegant code and astonishing speed, this is your place.

Agenda:

18:20 Registration and Welcome!
18:30 Cynthia Faus Viade (Principal Solution Architect in the Services team at KX) , Bridging Traditional kdb+ Patterns with Modern Deployment Models (🇬🇧 this talk will be held in English / esta charla se impartirá en inglés)
19:20 Eduardo González Vaquero (Habla Computing) Deploying Deep Learning models using q with ONNX (🇪🇸 this talk will be held in Spanish / esta charla se impartirá en español)
20:00 Networking

Abstract

Cynthia Faus Viade (KX) This talk introduces the kdb Insights SDK reference architectures as a practical way to build modern, cloud-ready kdb+ systems. It provides a high-level overview of the core architectural components, how they map to familiar kdb+ patterns, and demonstrates how a reference architecture can be deployed to run an end-to-end data pipeline from ingest to query. The session aims to show how these reference architectures bridge traditional kdb+ patterns with modern deployment and operational models.

Cynthia is a Principal Solution Architect in the Services team at KX, with over 12 years of experience working with kdb+. She works with clients and partners to design, build, and evolve large-scale kdb+ systems, focusing on architecture, deployment, and operational best practices.

Eduardo González Vaquero (Habla Computing) ONNX is an open-source format for representing machine learning models. We will create the necessary bindings to use ONNX from the q language.

Eduardo is a Data Scientist at Habla Computing

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