Big time-series Data
"Q Tips: Fast, Scalable and Maintainable Kdb+" by Nick Psaris is the new book for programmers immersed in analyzing big data in financial services.
IEX's implementation of kdb+ is designed to seamlessly scale if and when it secures approval as an SEC-approved national stock exchange.
Kx will continue to operate independently.
The latest version of kdb+ extends multi-core processing and further expands WebSocket support.
Kdb+ is going to be used by the Laboratory for Financial Innovation of SZSE to construct a data analysis platform for market risk assessment, analysis of market performance, trading simulations, and other data analysis.
Kx announces its new website to support its growing user base, and also that the 32-bit version of kdb+ will now be free for commercial use.
Kx Systems announces a consulting, training, and sales partnership focusing on the utilities sector with Affinity Systems, a Mississauga, Ontario-based software consultancy.
Time-series relational database system evaluated and tested with over 15 terabytes of data.
Kx announces its silver sponsorship of the event.
Kx announces impressive results at the Chicago STAC summit.
During the evaluation process RSJ pushed potential systems to the limit before concluding that Kx Systems was the best provider.
Kx is pleased to announce its sponsorship of the NYU-Poly Big Data Finance Conference on Friday, May 3, 2013.