Another test framework for q/kdb+

15 Aug 2016 | , , ,
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Patryk Bukowinski has an interesting Github repo, “yet Another Test Framework for q/kdb+,” or yATF.q.
It is a proposal for a simple test framework with bladeRunner. It allows you to run unit, integration and full end-to-end system tests very easily.

Patryk presented an earlier version of this at the London Kx Meetup on 17 September 2015.


Kx Insights: Machine learning subject matter experts in semiconductor manufacturing

9 Jul 2018 | , ,

Subject matter experts are needed for ML projects since generalist data scientists cannot be expected to be fully conversant with the context, details, and specifics of problems across all industries. The challenges are often domain-specific and require considerable industry background to fully contextualize and address. For that reason, successful projects are typically those that adopt a teamwork approach bringing together the strengths of data scientists and subject matter experts. Where data scientists bring generic analytics and coding capabilities, Subject matter experts provide specialized insights in three crucial areas: identifying the right problem, using the right data, and getting the right answers.

Transitive Comparison

Kdb+ Transitive Comparisons

6 Jun 2018 | , ,

By Hugh Hyndman, Director, Industrial IoT Solutions. A direct comparison of the performance of kdb+ against InfluxData and, by transitivity, against Cassandra, ElasticSearch, MongoDB, and OpenTSDB