Kx Use Case: MIT Motorsports’ kdb+ Vehicle Telemetry System

11 Oct 2018 | , , , , ,

By Nickolas Stathas MIT student Nick Stathas was the software lead for the MIT Motorsports Team’s Model Year 2018 (MY18) race car which competed in the international Formula SAE competition in June 2018. Nick built an open-source code base of embedded components for monitoring the car’s systems’ including the vehicle control unit and battery management

Kx Product Insights: Visualization for Exploratory Data Analysis (EDA)

20 Sep 2018 | , , , ,

By Tim Thornton   Kx has a broad list of products and solutions built on the time-series database platform kdb+ that capitalize on its high-performance capabilities when analyzing very large datasets. Analyst for Kx is a powerful graphic user interface combined with an integrated analytics package which puts the power of kdb+ in the hands

Kx Product Insights: Spoofing and Layering Alerts

18 Sep 2018 | , ,

by Jamie O’Mahony Kx has a broad list of products and solutions built on the time-series database platform kdb+ that capitalize on its high-performance capabilities when analyzing very large datasets. Kx for Surveillance is a robust platform widely used by financial institutions for monitoring trades for regulatory compliance. The Surveillance platform instantly detects known trading

Kx Porsche sponsorship highlights speed and precision engineering

14 Jun 2017 | , , , , , , , ,

Inspired by our corporate mission of excellence in engineering, Kx is sponsoring a Porsche Supercup car and driver for the second year in a row. This year, the car is a new 2017 Porsche 911 GT3 Cup Car and the driver, again, is Paul Rees. “Porsche is a brand that we associate with speed, power, elegance, simplicity and great engineering,” said Kx Chief Revenue Officer Pat Brazel at the recent unveiling of the car at Porsche Centre Mayfair London ahead of the 2017 Porsche Mobil 1 Supercup season. “These are all things that we aspire to, and values that we share in the products that we build.”

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.