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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 Initial State?

Start your streaming adventure by utilizing simple URL parameters, or immerse yourself in the Streaming API documentation to learn how to send events in JSON format. Accessing data from your Initial State account is just as easy; you only need your private access key along with a straightforward HTTPS GET request. Discover our intuitive examples and extensive API documentation to guide you through the process. With no limits on the number of devices, data streams, or dashboards, you have the freedom to innovate and create impressive data projects. Whether you prefer to keep your information confidential or wish to share it with a larger audience, the Initial State streaming REST API simplifies both learning and implementation. A variety of open-source SDKs, including those for Python and NodeJS, are available for your ease. Moreover, you can explore several in-depth tutorials crafted to assist you in effortlessly developing functional real-time streaming projects. Our codeless data integrations further enhance this experience by allowing you to gather data from APIs with just a few clicks, removing the necessity for coding or setting up hardware to retrieve the information you seek. This efficient strategy not only makes it accessible but also enables you to concentrate on your creative projects without the hassle of complex technical details. Ultimately, the user-friendly nature of these tools encourages experimentation and innovation in data handling.

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

PubNub

API Availability

API Availability

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

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

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

Initial State

Date Founded

2012

Company Location

United States

Company Website

www.initialstate.com/streaming/

Categories and Features

IoT

Big Data Analytics
Data Collection
Data Management
Visualization

IoT Analytics

Not specified

Categories and Features

IoT Analytics

Not specified

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