Kx Product Insights: Analyst for Kx IDE
3 Oct 2018
By Ben Jeffery Introduction This article examines how the features of Analyst for Kx help developers and analysts write code in kdb+. In previous articles in this series, we have ingested taxi and weather data into kdb from multiple sources, and used visual techniques to gain some insight into the data. This article will outline
Machine Learning in kdb+: k-NN classification and pattern recognition
31 Aug 2017
As a powerful array-processing technology, kdb+ can be used with great effect in machine learning algorithms. This whitepaper on k-NearestNeighbor classification and pattern recognition in kdb+ uses a non-parametric statistical method commonly used for Pattern Recognition.
Kdb+ interface to Kafka
20 Jun 2017
Kx recently released a Kafka interface to kdb+ on GitHub that eases integration of applications using Kafka applications with kdb+. Sergey Vidyuk of the Kx Tech team has written a blog post describing the interface. This interface provides yet another way of combining the ingest, real-time and historical data processing capabilities of kdb+ with external data streams and consumers.
GitHub: Regex extensions for kdb+/q, using Google’s re2 library
8 Mar 2017
Every developer at some point needs to extract valuable data embedded inside of strings. Jay Fenton has released an extension to kdb+/q on GitHub, which enables Google's highly optimized re2 library to be used inside of kdb+.
You can find other great kdb+/q GitHub repos at the Kx Github index. If you post kdb+/q code to GitHub, please drop us a note at firstname.lastname@example.org. There are more ways to participate in the Kx Community too, join the Kdb+ Personal Developers Group and look for a Kx Meetup in your area.
GitHub: Machine learning project for kdb+/q
14 Dec 2016
Software engineer and kdb+ programmer Juan Lasheras recently added a kdb+/q machine learning project to GitHub.
The aim of Juan's ml.q repository is to act as a multi-purpose machine learning toolkit. It provides multiple useful methods that practitioners can use for data analysis and predictive modeling. It is comparable to the scikit-learn toolkit for Python. Check out his repo on GitHub to see the algorithms he implemented.
GitHub: Ready, Set, Go!
31 Aug 2016
Kx engineer Fintan Quill writes about Sergey Vidyuk's kdbgo project, which can also be found on the newly enhanced Kx GitHub repo.