Kdb+ and Python: embedPy and PyQ
15 Nov 2017
In September, Kx announced a range of initiatives to put machine learning (ML) capabilities at the heart of future technology development. The first library to be released as part of this initiative is embedPy, which exposes powerful Python functionality to q developers. EmbedPy is the mirror image of PyQ, a set of software components that simplify the running of a Python interpreter alongside a kdb+ server, the rights to which Kx has acquired. Developed by Alexander Belopolsky of Enlightenment Research, PyQ covers all Python libraries, with a primary focus on numerical libraries such as NumPy and SciPy.
Use Case: Kdb+ integral to BitMEX Bitcoin derivatives exchange growth strategy
27 Sep 2017
The Bitcoin Mercantile Exchange, or BitMEX, was launched in 2014 as one of the first Bitcoin derivatives exchanges. The founders of BitMEX, experienced securities traders and engineers, understood that investing in the right technology at the start would be key to their success. Anticipating fast growth, their trading infrastructure needed to be robust, flexible and scalable. That's why BitMEX built their trading system in kdb+. Today, BitMEX is the world’s most advanced Bitcoin derivatives exchange and API. After three years BitMEX’s monthly trading volume exceeds US$4,000,000,000 of derivatives products, and continues to expand at a high rate. They anticipate $1 billion average daily volume by the end of their fourth year of operations.
Kx for Retail: Range or die – how to survive the retail revolution
31 Aug 2017
In case you missed it, we are in a digital revolution and no industry is exempt. Banks, newspapers, travel and retail have to adapt to technology-focused business models with the key driver being changing consumer behavior. Big names that are slow to adapt are being lost. Range optimization will be one of the most important
Kx Insights: Merging EMRs with Healthcare Analytics
15 Aug 2017
Regulatory requirements for electronic medical records (EMR) and the introduction of real-time medical monitoring through edge technology, means that Big Data in healthcare will only increase in complexity and decrease in efficiency.
Kx for Pharma offers a solution for analyzing IoT data sent by remote medical monitoring devices. It’s high-performance database platform, quickly captures, analyzes and stores real-time data and is ideal for edge technology. The design of the system allows it to process streaming real-time and historic data, such as from EMRs, in one system for performing predictive analytics.
Kx Insights: Powering Business Decisions with Bitemporal Data
29 Jun 2017
In order to be able to gain business insights in today's rapidly changing business environments, organizations have to represent data from their assets and operations across many dimensions of time. In particular, the ability to go back in history and replay streaming data, like, for instance, trading activity, can materially impact going-forward business decisions. This paper draws on real world examples and how Kx technology has been applied to address them.
IoT Analytics: How Kx can Supercharge your Legacy Systems
23 May 2017
If your company is not already drowning in data now, it will be soon. Gartner Inc. forecasts that 8.4 billion connected things will be in use worldwide in 2017, up 31 percent from 2016, and will reach 20.4 billion by 2020. In 2017, 6 million new things will be connected every day. Each one of them will transmit a stream of data, adding up to sensor data volumes that will dwarf today’s volumes. How your business uses this streaming data to compete in the market may determine its long-term success within the world of Industrial IoT.