Streaming Analytics with kdb+: Detecting card counters in Blackjack
17 May 2017
With the growth and acceleration of the Internet of Things (IoT), data collection is increasingly being performed by sensors and smart devices. Consuming and analyzing the massive amounts of data transmitted from sensing devices is considered the next Big Data challenge. A key problem in processing large quantities of data in real-time is the detection of event patterns, and this is why streaming analytics, also known as Event Stream Processing (ESP), is becoming a mainstream solution in IoT. Kx engineers Caolan Rafferty and Krishan Subherwal recently wrote a technical paper that highlights the use case of kdb+ with ESP.
Out-of-this-World Processing, using Kx for Space Tech
9 Feb 2017
Kx has always been known for its stellar performance in comparison to other technologies. The dramatic developments in satellite technology now provide the opportunity to make that literally as well as figuratively true. Rob Hill from Kx, and Director of the Northern Ireland Space office, explores the possibilities.
Kx featured in Bloor Streaming Analytics Report 2016
30 Sep 2016
Kx is among the leading streaming analytics technology firms chosen by Bloor Research for a recent market report. Streaming analytics has emerged as an essential capability for businesses today looking to capitalize on the value of their data. With the volume and velocity of Big Data increasing, new tools are needed to keep pace.
Gerry Buggy on Streaming Analytics and In-Memory Computing
4 Sep 2016
Stream processing of real-time data enables business leaders to discover new insights that can’t be gleaned from reports after the fact.
SQL and the Problem with Time Series
1 Jul 2002
SQL isn’t keeping pace with the demand to quickly analyze large amounts of data by Joe Celko and Arthur Whitney (July 1, 2002) • Inside Market Data Vol 17 No 39 • July 1, 2002 (New York – London) “Time is what keeps everything from happening all at once.” —George Carlin In the real world,