2018 most read blogs: Python, Machine Learning, Cloud and kdb+ Performance
19 Dec 2018
In 2018 the most-read blogs on kx.com were about kdb+ and Python, machine learning, cloud and kdb+ performance benchmarks. The expansion of the use of kdb+ and Kx technologies in new industries like space research, transportation tech and precision manufacturing was also chronicled in 2018 blogs.
Q for All: Introduction to kdb+ and q video series by Jeffry Borror
4 Jun 2018
If you are considering learning how to use kdb+, and its built-in programming language q, or have just begun to work with it, you will want to check out the latest resources for getting started. Kx has created a video series called Q for All: Introduction to kdb+ and q, with Jeffry Borror. The two-hour,
Kx and the Internet of Things Asia
21 Apr 2017
Adoption of connected devices and Internet of Things data analysis has become a compelling business imperative for companies and countries around the world. In Asia, the IoT revolution has unique characteristics reflecting the infrastructure and politics of the region. The conference is fittingly held in Singapore, which is striving to become the world's first Smart City.
Enhancing Your kdb+/q Toolkit: Real World Examples of Adverbs
12 Apr 2017
Nuša Žnuderl's latest blog post uses five real-world examples to demonstrate how kdb+/q coders can improve their results by using adverbs and not using looping constructs. Long-term the benefit is vastly improved performance from doing things in the “q way.” In her blog Nuša writes: "Similar to the English language, adverbs in q augment operations to allow an application on lists. They make code shorter, clearer and almost always more efficient than the alternative loopy modus operandi – all of which are qualities that differentiate code written by proficient q users from the rest."
Kx 1.1 billion taxi ride benchmark highlights advantages of kdb+ architecture
25 Jan 2017
Stellar performance in third-party benchmarks is a tradition at Kx, and now we can add a new benchmark to the list, the taxi ride benchmark developed by Mark Litwintschik. This latest benchmark queries a 1.1 billion New York City taxi ride dataset. Our results were over four orders of magnitude faster than any other CPU technology and comparable to GPU-based code.
Research in kdb+/q: AQuery
29 Sep 2016
Dr. Dennis Shasha, of the Courant Institute of Mathematical Sciences at NYU, and José Pablo Cambronero, a PhD student at MIT, recently presented the results of their research on AQuery and q/kdb+ at the latest Kx Community NYC Meetup. AQuery is a simple extension to SQL that makes joins, moving averages, correlations, and other such