Audience

Enterprises and professionals in need of a solution to access, organize, select and transform IoT data

About SAS Analytics for IoT

Access, organize, select and transform IoT data with this complete, AI-embedded solution. SAS Analytics for IoT covers the entire Internet of Things analytics life cycle, providing streamlined, extensible ETL, a sensor-focused data model, advanced analytics, and an industry-leading streaming execution engine to perform multi-phase analytics. SAS Analytics for IoT is built on SAS® Viya® and runs in a fast, in-memory distributed environment. Learn how to build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, respond in real time, and store only relevant data elements. This course covers basic concepts of event stream processing, including what component objects are available to build event stream processing applications. Curiosity is our code. SAS analytics solutions transform data into intelligence, inspiring customers around the world to make bold new discoveries that drive progress.

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Integrations

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Company Information

SAS Institute
United States
support.sas.com/en/software/analytics-for-iot-support.html

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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

SAS Analytics for IoT Frequently Asked Questions

Q: What kinds of users and organization types does SAS Analytics for IoT work with?
Q: What languages does SAS Analytics for IoT support in their product?
Q: What kind of support options does SAS Analytics for IoT offer?
Q: What other applications or services does SAS Analytics for IoT integrate with?
Q: What type of training does SAS Analytics for IoT provide?

SAS Analytics for IoT Product Features

IoT

Big Data Analytics
Data Collection
Data Management
Visualization
Application Development
Configuration Management
Connectivity Management
Device Management
Performance Management
Prototyping

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking