PUBLICIDADE Comprehensive analytics capabilities and proven data management techniques
SAS offers the widest and deepest range of analytics capabilities – from basic reporting and traditional statistics to descriptive, predictive, and prescriptive techniques – as well as machine and cognitive learning. We develop and continuously improve upon the latest techniques to deliver the best solutions for high-frequency and streaming data. Our industry-leading data management capabilities take IoT data generated anywhere and make it analytics-ready.
Flexibility to run on a range of hardware, or in the cloud
SAS runs on a wide variety of hardware platforms. It can exploit big data appliances and run in the cloud.
SAS and Intel work together to optimize SAS applications for the latest Intel® technologies, in data analytics and business intelligence (BI) to change the way businesses compete, enabling real-time insights to be delivered across a wide range of processes and user roles. For example, shown in recent benchmark testing, Intel Xeon and SSD Technologies Boost SAS* Analytics 9.4 throughput by up to 72 percent with the latest Intel® Xeon® processor E7 v3 family and the Intel® Solid-State Drive Data Center Family for PCIe. SAS delivers industry leading solutions with fl exible support for in-memory analytics, grid computing, big data integration, and self-service BI. These capabilities provide signifi cant advantages for customers in Big Data analytics, and IoT edge based analytics with SAS Event Stream Pro- cessing (ESP) that runs on Intel IoT Gateway platform technology.
SAS also works with many communications and hardware vendors to support embedded analytics in their edge devices – especially IoT gateways.
Application-ready gateways based on Intel® IoT Gateway Technology make particularly good solutions. They connect legacy and new systems, providing leading performance and security for intelligence at the edge (Figure 2).
Experience the
Power to: • Publish and subscribe. Use an extensive suite of data adapters and connectors to link with a variety of endpoints in your IoT landscape.
• Persist IoT data. Perform deep-dive analysis and model development on your storage platform of choice.
• Graphically visualize data in motion and data at rest. Achieve a clearer understanding of how you should respond.
• Apply analytics to streaming data. Implement aggregation to more advanced operations like predictive analytics – even at the edge.
72 NETWORK INFRASTRUCTURE THINGS GATEWAY
CLOUD/DATA CENTER INFRASTRUCTURE
NETWORK AND CLOUD
With support for multiple operating systems and processor performance levels, solutions based on Intel IoT Gateway Technology are scalable and meet the needs for a broad range of applications such as SAS Analytics. Remote manageability options and proven security give developers the tools to quickly create and deploy innovative and cost-effective solutions.
Learn More
Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 80,000 sites make better decisions faster. Fusing analytics with IoT data, SAS positions you to make both better real-time and far-reaching business decisions in the emerging IoT landscape. Find out more at
intel.com/SD-sas-event-stream-processing or visit
sas.com/iot.
SAS is a General member of the Intel®
• Mine and analyze data at rest, in stream and points in between. Employ proven analytics technologies that provide extensive methods for getting the most out of IoT data.
• Close the IoT analytics loop. Do big data
analytics on data at rest in conjunction with targeted edge analytics at endpoints.
Internet of Things Solutions Alliance. From modular
components to market-ready systems, Intel and the 500+ global member companies of the Intel®
Internet of Things Solutions Alliance provide scalable, interoperable solutions that accelerate deployment of intelligent devices and end-to-end analytics.
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