The KX Blog

Tutorial Integrating Parquet Format Data With KDB X

Tutorial: Integrating Parquet format data with KDB-X

In this tutorial, you’ll learn how to integrate Parquet data with KDB-X, build virtual tables across multiple files, and run high-performance time-series analytics using q.

By Laura Kerr • 15 December, 2025

Financial services

KDB-X webinar recap: Build, analyze, and innovate on the next generation of kdb+

A recap of the KDB-X webinar covering architecture, modules, Parquet support, AI workflows, and the roadmap. Learn how to start building with KDB-X today.

By KX • 11 December, 2025

From insight to alpha: How top quants are integrating AI in 2026

Financial services

Insights from the KX Capital Markets Data Report 2026

Explore key insights from the KX Capital Markets Data Report, revealing how quants and CIOs can align to scale AI, reduce friction, and gain a market edge.

By Daniel Tovey • 11 December, 2025

Tutorial: Tutorial analyzing data with KDB-X SQL

A step-by-step tutorial showing how to use SQL directly inside KDB-X to query, transform, and analyze time-series data.

By Laura Kerr • 9 December, 2025

Browse blogs

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From documents to insights: Advanced PDF parsing for RAG

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Eight common mistakes in vector search and how to avoid them

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How leading hedge funds turn real-time data into alpha: 6 key capabilities quants need today

27 March, 2025
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Why hedge funds need a unified data layer

24 March, 2025
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Survival of the fastest: Why firms must break the AI ‘sound barrier’

21 March, 2025
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Five rules for building apps with streaming data

18 March, 2025
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GPU accelerated deep learning: Real-time inference

17 March, 2025
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Predict machine failure with temporal similarity search

12 March, 2025
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How to stop your RAG going rogue

5 March, 2025
Financial services KDB.AI

Should capital markets favor traditional AI over GenAI? Yes – and also no

4 March, 2025

209 results in total

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