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SAS Event Stream Processing is a real-time streaming data analytics platform supporting high throughput workflows and processes such as IoT, sensors, and other transactions.

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SAS Event Stream Processing

Streaming Analytics is performing analytic computations on data streaming from devices, sensors, websites, social media, applications, infrastructure systems, and more. This category of tools is an evolution of Complex Event Processing (CEP) software, designed specifically for the big data era.

Streaming Analytics

Event stream processing uses machine learning to gain valuable insights from streaming data collected from operations, transactions, sensors and Internet of Things (IoT) devices. No matter how fast your data moves, how much data you have, or how many data sources you're pulling from, it's all under your control, giving you the power to stay agile and tackle issues as they arise.

Event stream processing helps make the most of the data being collected. Prebuilt data quality routines and text processing execution are applied to data in motion so big data is filtered and ready for consumption.

As data volumes grow, SAS Event Stream Processing scales economically from the edge to enterprise for faster, better, more powerful high-volume throughput. Analyze structured and unstructured data sources – including video, text, and image classification and identification – using advanced analytics with embedded AI and machine learning capabilities. In addition, SAS Event Stream Manager integrates SAS Event Stream Processing studio and server components, simplifying and automating the deployment of SAS Event Stream Processing projects and analytics for rapid decision making – with no disruption to service.

Learn More about SAS Software 
SAS® Event Stream Processing – https://www.sas.com/en_us/software/event-stream-processing.html
Try SAS® Event Stream Processing for Free – https://www.sas.com/en_us/trials.html
Solution Brief: Analyze streaming data from edge to enterprise to make intelligent decisions in real time – https://www.sas.com/content/dam/SAS/documents/briefs/solution-brief/en/event-stream-processing-110933.pdf


SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL
https://www.youtube.com/SASSoftware?sub_confirmation=1

ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. #SASSoftware

CONNECT WITH SAS
SAS ► http://www.sas.com
SAS Customer Support ► http://support.sas.com
SAS Communities ► http://communities.sas.com
Facebook ► https://www.facebook.com/SASsoftware
Twitter ► https://www.twitter.com/SASsoftware
LinkedIn ► http://www.linkedin.com/company/sas
Blogs ► http://blogs.sas.com
RSS  ►http://www.sas.com/rss

SAS Demo | Streaming Analytics with SAS Event Stream Processing

SAS Event Stream Processing with Kubernetes

SAS Demo | SAS Analytics for IoT – Fast, Scalable Results from IoT Data

Loading Event Stream Processing Data to a SAS LASR Server

This demo was developed using SAS Deep Learning in combination with SAS Event Stream Processing and Open Source libraries in Python.
The complete demo including the code can be found on my GitHub:
https://github.com/Mentos05/SAS_DeepLearning/tree/master/Social%20Distancing%20Demo

In contrast to other demos with the same usecase, this one also includes the possibility of calculating a homography matrix to remove the camera perspective. This way it is possible to create a 2D map and calculate real world distances.

You can read more about it at: https://medium.com/@michaelgorkow/track-social-distancing-using-computer-vision-2032d35cbcb4

Source of Original Video: https://www.youtube.com/watch?v=WvhYuDvH17I

Michael Gorkow | Data Scientist & CV-Enthusiast

[Computer Vision] Tracking Social Distancing on Camera Videos (including 2D transformation)

SAS Event Stream Processing (ESP) 7.1 with Kubernetes is a framework to help process and analyze streaming data coming from edge devices while working in the cloud. The ESP Operator extends the Kubernetes API to automate the installation and management of multiple instances of ESP applications.

SAS ESP with Kubernetes provides for controlled and automated deployment, management, and auto-scaling of ESP Server running in container pods across a Kubernetes cluster in a cloud environment. ESP with Kubernetes (ESP-Kube) offers a highly available, reliable, and fault-tolerant environment. It enables enterprises to create multi-user, multi-tenant deployments and comes with the load balancing necessary to provide scalability of ESP Servers. It offers a secure web client and container support. The ESP-Kube framework also provides metadata management.

SAS Event Stream Processing enables users to analyze streaming data, uncover hidden insights with AI and make real-time, intelligent decisions in the environment of their choice.

Event stream processing uses machine learning gain valuable insights from streaming data collected from operations, transactions, sensors and IoT devices. No matter how fast your data moves, how much data you have, or how many data sources you're pulling from, it's all under your control, giving you the power to stay agile and tackle issues as they arise.

Event stream processing helps make the most of the data being collected. Prebuilt data quality routines and text processing execution are applied to data in motion so big data is filtered and ready for consumption.

As data volumes grow, SAS Event Stream Processing scales economically from the edge to enterprise for faster, better, more powerful high-volume throughput. Analyze structured and unstructured data sources – including video, text, and image classification and identification – using advanced analytics with embedded AI and machine learning capabilities. In addition, SAS® Event Stream Manager integrates SAS Event Stream Processing studio and server components, simplifying and automating the deployment of SAS Event Stream Processing projects and analytics for rapid decision making – with no disruption to service.

Learn More about SAS Software and Next Steps
SAS® Event Stream Processing – https://www.sas.com/esp
SAS Demo | Streaming Analytics with SAS Event Stream Processing – https://youtu.be/PXGYMeS117k
SAS Event Stream Processing with Kubernetes (Overview) – https://youtu.be/bbRI3O3J8GY


SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL
https://www.youtube.com/SASSoftware?sub_confirmation=1

ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. #SASSoftware

CONNECT WITH SAS
SAS ► https://www.sas.com/contact
SAS Customer Support ► https://support.sas.com
SAS Communities ► https://communities.sas.com
SAS Analytics Explorers ► https://explorers.sas.com
Facebook ► https://www.facebook.com/SASsoftware
Twitter ► https://www.twitter.com/SASsoftware
LinkedIn ► https://www.linkedin.com/company/sas
Blogs ► https://blogs.sas.com
RSS ►https://www.sas.com/rss

SAS Demo | Kubernetes Operator Framework | SAS Event Stream Processing

[Computer Vision] Aircraft Turnaround Management with SAS Event Stream Processing

During this video you’ll learn 3 cool things about SAS Event Stream Processing (ESP) that let you analyze streaming data, uncover hidden insights with AI and make real-time, intelligent decisions in the environment of your choice – including using open source technologies. ESP allows you to unlock IoT value using streaming analytics.

The key takeaways focus on these areas:
1) tips on using real-time pattern matching and alerts
2) how you can benefit from Viya/SAS Platform Integration
3) two ways in which you can continue to work with open source languages such as Python while using ESP (visit https://github.com/sassoftware/python-esppy to download ESPPY)

Learn more at https://www.sas.com/esp

Learn More about SAS Software 
Get Free Trial of SAS Event Stream Processing - https://www.sas.com/store/expresscheckout.ep?item=ADX_ESPEDGE_TRIAL_TENANT
Event Stream Manager Product Brief - https://www.sas.com/content/dam/SAS/documents/product-collateral/product-brief/en/sas-event-stream-manager-110313.pdf
ESP for Edge Computing Product Brief - https://www.sas.com/content/dam/SAS/documents/product-collateral/product-brief/en/sas-event-stream-processing-edge-computing-110904.pdf
SAS Demo | Streaming Analytics with Event Stream Processing - https://www.youtube.com/watch?v=PXGYMeS117k
ESP Trial Video: Samantha the Data Scientist - https://www.youtube.com/watch?v=k7ynWviL8Ho
Enel: Customer story using ESP - https://www.youtube.com/watch?v=Pehhn826S_Q
SAS and Siemens - https://www.youtube.com/watch?v=H8-g5d9L5Xg


SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL
https://www.youtube.com/SASSoftware?sub_confirmation=1

ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. #SASSoftware

CONNECT WITH SAS
SAS ► http://www.sas.com
SAS Customer Support ► http://support.sas.com
SAS Communities ► http://communities.sas.com
Facebook ► https://www.facebook.com/SASsoftware
Twitter ► https://www.twitter.com/SASsoftware
LinkedIn ► http://www.linkedin.com/company/sas
Blogs ► http://blogs.sas.com
RSS  ►http://www.sas.com/rss

3 Cool Ways to Unlock IoT Value using Streaming Analytics

[Computer Vision] Tracking Social Distancing on Camera Videos

SAS Demo | Getting an ASTORE into an ESP Project

SAS Demo | Pattern Matching with ESP

SAS Event Stream Processing 6.2 - Cloud Native Deployments

SAS Demo | Deploy Python Models Into an ESP Project Using MAS

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. With innovative business applications supported by an enterprise intelligence platform, SAS helps 45,000 organizations improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®.

Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.

Real-Time Data Analysis

Visualization Dashboards

Easy-to-understand pictorial illustration of data with graphs charts and dashboards

Data Ingestion from Multiple Data Sources

Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data

Low Latency

How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or
data-point

Integrated Development Tools

Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined
functions and operators

Data wrangling and preparation

Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.

Linear Scale-Out

Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions

Machine Learning Automation

Machine learning helps automate predictive scoring on streaming data

Data Enrichment

Ability to enrich the data stream with static reference data

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