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What is SAS Analytics for IoT?

Leverage an all-encompassing, AI-driven approach to effectively access, organize, select, and transform data derived from the Internet of Things. SAS Analytics for IoT encompasses the full analytics life cycle linked to IoT, featuring a seamless and flexible ETL process, a data model prioritizing sensor data, and a sophisticated analytics framework enhanced by an elite streaming execution engine that enables intricate multi-phase analytics. Built on SAS® Viya®, this solution functions adeptly within a rapid, in-memory distributed environment. Learn how to develop SAS Event Stream Processing applications that can manage high-volume and high-velocity data streams, providing instantaneous responses while retaining only crucial data elements. This course covers the fundamental concepts of event stream processing, explaining the various component objects that can be employed to create efficient event stream processing applications. Our dedication to curiosity fuels innovation, as SAS analytics solutions transform raw data into actionable insights, empowering clients worldwide to embark on ambitious new projects that promote growth. By embracing the future of data analytics with SAS, organizations can unlock a realm of endless possibilities and drive transformative change. Through this journey, businesses will not only enhance their operations but also gain a competitive edge in their respective industries.

What is GO+?

GO+ offers specialized development resources for service providers, enabling them to enhance their offerings for business customers effectively. The platform is engineered to manage a vast array of devices concurrently through sophisticated algorithms, allowing service providers to dedicate more time to the innovation of new services rather than grappling with development hurdles. Central to the platform is an analytical decision-making engine that employs Granular Computing for detailed data processing and complex event management. We harness cloud technology to integrate business logic from real devices directly into the cloud environment, providing a level of scalability that ensures cost-effective solutions. Furthermore, the platform's scripting engine provides developers with an extensive toolkit for creating highly tailored IoT services across a variety of sectors. Built on state-of-the-art cloud computing infrastructure, GO+ guarantees exceptional performance and reliability for its users. Ultimately, GO+ empowers service providers to drive innovation without the usual limitations tied to service development, fostering a new era of creativity and efficiency in the industry. This capability allows providers to remain competitive in a rapidly evolving market landscape.

Media

Media

Integrations Supported

Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Uptempo

Integrations Supported

AWS Cloud9
Amazon Web Services (AWS)
Facebook
GitHub
Google
Hadoop
Wolfram Data Science Platform
X (Twitter)
Yandex

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

SAS Institute

Company Location

United States

Company Website

support.sas.com/en/software/analytics-for-iot-support.html

Company Facts

Organization Name

GO+

Company Location

United States

Company Website

goplusplatform.com/platform/

Categories and Features

IoT

Big Data Analytics
Data Collection
Data Management
Visualization

IoT Analytics

Not specified

Categories and Features

IoT

Not specified

IoT Analytics

Not specified

IoT Development

Not specified

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