Kx Data Refinery: Enabling Data Connectivity

27 Feb 2017 | , , , , ,
Share on:

Today’s world is about connectivity and collaboration; from social media and supply chain integration to cooperation and co-opetition, systems are becoming increasingly interconnected. It is ironic, therefore, that while many supporting in-house applications may share network connectivity, and possibly business logic in the form of shared libraries, they retain individual, isolated islands of data within the enterprise. Not only does it impose cost overhead for sourcing and maintaining multiple copies of the data, it also compounds the risk of inconsistency and dramatically slows down application development time.

If systems developers could concentrate on developing business logic secure in the knowledge that the supporting data was continually available, easily consumable and certifiably correct, the speed of development would accelerate to match the speed of requirements. These are the principles we at Kx have adhered to whilst developing the Kx Data Refinery. The data is king.

Kx Data Refinery is a software platform design to wrap all of the hard-won experience and battle-hardened technology Kx has developed for financial markets into a platform that can be used for real-time and historical data capture and analytics across any business vertical. Kx is no longer just about financial markets.

Click here to read more about Kx Data Refinery and a relevant report by Gartner called “Building Responsive Data Management for Web-Scale IT,” or follow the link to the left.

Dan Seal is a senior vice president and leads the Kx Data Refinery effort at Kx. He has spent the past fifteen years developing and running kdb+ and market data and analytics systems for Tier 1 banks, including Deutsche Bank and Merrill Lynch.

© 2017 Kx Systems
Kx® and kdb+ are registered trademarks of Kx Systems, Inc., a subsidiary of First Derivatives plc.


Kx collaborating with Fintech startup chartiq

Collaboration: The Dominant Trend in Finance

13 Dec 2017 | , , , ,

In December we are re-blogging some of our favorite content from Kx partners and affiliated companies, starting with this article on the ChartIQ blog. ChartIQ is an agile FinTech company that sells an advanced HTML5 charting library used in technical data analysis, trading configurations and for charting in the capital markets industry. Kx offers a ChartIQ integration as an addition to our Dashboards. In Collaboration: The Dominant Trend in Finance, ChartIQ’s Hanni Chehak writes about the rise of FinTech companies, and the role collaboration plays as FinTech companies are increasingly disrupting the traditional banking sector.

Water system workers with kdb+ historical database

Kdb+ Use Case: Machine Learning Water System Maintenance Application

6 Dec 2017 | , , , ,

Kdb+ is being used much more widely in machine learning applications today. Its ability to quickly ingest and process data, particularly large, fragmented datasets, is one way that developers are adding kdb+ to their technology stack of artificial intelligence and machine learning tools.
For Australian kdb+ developer Sherief Khorshid, who also develops machine learning systems, incorporating kdb+ into a predictive maintenance application gave him the edge in a hackathon win that landed him a cash prize and a contract with the Water Corporation of Western Australia.

kdb+ FFI

Kdb+ FFI: Access external libraries more easily from q

22 Nov 2017 | , , ,

Following on from the hugely popular Python library and interface embedPy and PyQ, Kx has released an FFI as part of the Fusion for kdb+ interfaces. As with embedPy and PyQ, this FFI is open-sourced under the Apache 2 license.
The kdb+ FFI is a foreign function interface library for loading and calling dynamic libraries from q code. It has been adapted and expanded upon from a library originally written by Alex Belopolsky of Enlightenment Research. With the kdb+ FFI you can now call your favorite C/C++ libraries directly from q without the overhead of having to compile shared objects and load into q using the 2: command.