Kx Insights: Benefits of Utility Predictive Maintenance Analytics
17 Oct 2017
Utilities are going through significant modernization, with the adoption of smart grid technologies such as advanced metering, advanced distribution management, outage management, customer engagement and analytics. This modernization is creating a wealth of diverse data about assets, operations, and customers. At the same time the job of utilities is becoming more challenging with pressure to reduce costs, competition from new forms of technologies and energy providers as well as the need to integrate renewable energy resources. These new challenges, competition and pressures are leading to innovation and transformation in the utilities industry.
Kx for Earth Observation and Astronomy Big Data challenges
11 Oct 2017
The aerospace industry is increasingly becoming aligned with companies that can take advantage of high-value geospatial and global Earth observation data. In the current era of Big Data and IoT analytics, businesses in industries ranging from energy to civil engineering to facilities management that can commercially exploit non-traditional sources of data, such as data from satellites, can gain a critical edge. Kx technology has already been adopted in a number of such initiatives.
Kdb+ Mastermind Challenge
4 Oct 2017
The Kx Community NYC Meetup recently competed in a Mastermind coding competition moderated by expert kdb+ programmer Nick Psaris, author of the book "Q Tips: Fast, Scalable and Maintainable Kdb+." The top four solutions were notable for the completely different approaches they took. Mastermind is a popular code-breaking game introduced in 1975 that pits a “codemaker” against a “codebreaker.” The “code,” represented by four pegs chosen from a universe of 6 colors, is picked by the “codemaker.” The “codebreaker” continually makes 4-peg guesses and is told by the “codemaker” how many are the correct color in the correct position, and how many are the correct color in the wrong position.
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.
Kdb+ and Factom: Securing data on the blockchain with qfactom
13 Sep 2017
Blockchain applications are proliferating in the financial services industry and Kx technology is increasingly being used in these systems to provide high-speed data analytics, like by the Bitcoin Mercantile Exchange (BitMEX), a cryptocurrency derivatives exchange and by financial technology firm Cobalt DL. qfactom, is a kdb+ wrapper library designed to interact with the Factom blockchain via its client and wallet applications. The library provides convenient functions to create, publish data to, and read data from, Factom chains for the purpose of creating and validating secure audit trails.
Kx for Retail: How Location Technology is Revolutionizing the Customer Journey
7 Sep 2017
It is widely known that brick-and-mortar stores have been hit with declining sales in recent years, mainly due to the rise of e-commerce giants such as Amazon.com. At the same time, according to the Pew Research Center, 77% of Americans have cellphones and a majority of shoppers are using cell phones while they shop in physical stores. These trends have forced managers in the consumer goods industry to turn to non-traditional advertising and to try new marketing techniques in hopes to refresh tired processes and give retail stores new life.
Machine Learning in kdb+: k-NN classification and pattern recognition
31 Aug 2017
As a powerful array-processing technology, kdb+ can be used with great effect in machine learning algorithms. This whitepaper on k-NearestNeighbor classification and pattern recognition in kdb+ uses a non-parametric statistical method commonly used for Pattern Recognition.