Bangkok--30 Jun--core & peak
Mr. Taveesak Saengthong, Managing Director, SAS Software (Thailand) Co., Ltd., remarked, in 2013, 3.5 zettabytes of digital data were generated, and by 2020, that amount is predicted to grow to 44 zettabytes1. It's nearly impossible to conceptualize that kind of volume, but that's the IoT reality in which we live.
No matter the volume, variety, or even the velocity of data, SAS can help customers make sense of and capitalize on these data assets.
One technology already making inroads and turning heads within the IoT market is SAS® Event Stream Processing. It continuously analyzes streaming data transmitted from sensors, systems, machines, websites, and applications, and scales to analyze millions of events per second.
SAS Event Stream Processing can be applied to any industry. For instance, it can be applied in:
Capital markets to detect and prevent fraudulent trading activities.Utilities to choose the optimal power source at any given time.Healthcare to identify critical care needs.It can also be used in a variety of business cases, including:
Operational predictive asset maintenance to identify and optimally fix issues before they arise.Personalized marketing offers made while a consumer is still shopping.Identifying potentially malicious cyber-attacks.Mr. Taveesak, continued, On May 12, the latest version of SAS Event Stream Processing makes its debut. This release features a new web-based user interface that allows users to visually build event stream processing models. Now, SAS customers don't have to hire specialized staff to adjust and maintain event stream processing models or applications, the point-and-click navigation makes designing even the most complex models easy.
Other enhancements include new adapters: REST Adapter – web service integration with SAS Real Time Decision Manager; Sniffer Connector – for network surveillance; and Twitter adapter – for real-time twitter text stream processing. The latest version also includes new windows, including: notification window, counter window, text category window, sentiment window, and a function window that supports XML, JSON and free-form data.
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Get the power to know – immediately – with SAS Event Stream Processing http://www.sas.com/en_us/software/data-management/event-stream-processing.htmlDeal with all #bigdata V's with SAS Event Stream Processing http://www.sas.com/en_us/software/data-management/event-stream-processing.htmlPut #IoT to work and get value today with the latest SAS Event Stream Processinghttp://www.sas.com/en_us/software/data-management/event-stream-processing.htmlWhy should you care about the Internet of Things? http://www.sas.com/en_us/insights/big-data/internet-of-things.html #IoTMr. Taveesak, added, "When data is streaming at rates of millions of events per second, it's really important to be able to detect patterns of interest and define the right priorities. Instead of running queries against stored data,SAS Event Stream Processing stores queries and streams the massive amounts of data through them, filtering, aggregating and detecting patterns in real time. It's an embeddable engine that is used to determine data is relevant, when it needs immediate action, where it should be surfaced for situational monitoring, and where it should be stored for more in-depth analysis.
SAS Event Stream Processing output can seamlessly be directed to Hadoop, LASR and other big data repositories. And by integrating SAS' analytic solutions, customers have the ability to manage and provide analytics and insights in real time on huge volumes of streaming data. Analysis can be done both in and out of event streams by scoring SAS advanced analytics, predictive models, forecasts and optimization routines."