Kx featured on 2018 IoT Landscape Map
7 Mar 2018
First Mark Capital's Matt Turck has been talking about the growth of both the Big Data and the Internet of Things ecosystems for several years in his blog and elsewhere. An outgrowth of this interest has been graphic "maps" of both the Big Data landscape and the Internet of Things landscape that portray all of the significant players in those markets in a particular year. Subsequent versions of Matt's maps, which are published annually, show the speed of change of IoT technologies and approaches, especially for managing and analyzing large datasets generated by IoT devices.
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 powers Data Mart for Ontario’s Smart Meter Data
23 Aug 2017
Ontario’s electricity system is overseen by a semi-governmental entity called the Independent Electricity System Operator (IESO). The IESO's responsibilities include ensuring that there is enough power to meet the province’s energy needs and to plan for future needs. As part of that mission, a Smart Meter Entity within the IESO administers the data generated by Ontario’s four million smart meters.
Kx Insights: Sensor Data Storage for Industrial IoT
7 Jul 2017
Businesses adopting Industrial Internet of Things (IIoT) technologies face a herculean task. In an industry where the number of connected devices and equipment is increasing exponentially, the amount of operational data coming online which must be analyzed and stored rises in tandem.
Though many industrial businesses utilizing traditional database management systems find themselves drowning in the sheer volume of sensor data they are producing, those who are forward-looking are turning towards new platforms to help manage their data and, in turn, reduce costs and improve overall performance.
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.
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.