Real-time financial data analytics

28 Oct 2016 | , , ,
Share on:

The imperative to look at data in real-time, or near real-time, has grown globally as businesses seek greater ROI from their data by speeding up their decision-making.

In the next four years the amount of high-value data worth analyzing will double and 60% of information delivered to decision makers will be actionable, according to IDC, fueling higher demands for real-time data analytics.

In a recent article in Markets Media, experts in financial technology weigh in on these issues, including Kx engineer Fintan Quill. Read more here.

SUGGESTED ARTICLES

Kx Product Insights: Inter-Trading Alert

5 Dec 2018 | , , ,

by Aidan O’Neill 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 extends relationship with NASA Frontier Development Lab and the SETI Institute

The Exploration of Space Weather at NASA FDL with kdb+

4 Dec 2018 | , , , ,

Our society is dependent on GNSS services for navigation in everyday life, so it is critically important to know when signal disruptions might occur. Physical models have struggled to predict astronomic scintillation events. One method for making predictions is to use machine learning (ML) techniques. This article describes how kdb+ and embedPy were used in the ML application.

kdb+ on Google Cloud

Running kdb+ on Google Cloud (GCP)

8 Nov 2018 | , ,

By Himanshu Gupta Our guest blogger, Himanshu Gupta, is an expert kdb+ programmer who frequently writes about kdb+/q, as well as other technologies on his blog, enlist q, where this post originally appeared. In this latest article Himanshu gives a tutorial on using kdb+ on the Google Cloud. Check out enlist q, and subscribe while you […]