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Name: SAS Software
Type: Organization
Bio: Open Source from SAS Software
Location: Cary, North Carolina, USA
Blog: https://www.sas.com/
Name: SAS Software
Type: Organization
Bio: Open Source from SAS Software
Location: Cary, North Carolina, USA
Blog: https://www.sas.com/
This ESP Blob File connector reads and writes files to ESP as a single blob or text field.
Learn how to utilize the Database Connector with DataDirect Drivers in ESP to read and write data to relational databases (e.g., Microsoft SQL Server, PostgreSQL on Azure).
This is a SAS Event Stream Processing (ESP) enablement project outlining how to use the Pattern window to detect patterns that produce forecasts.
Learn how to create and deploy an ESP high availability system using Kafka as the message broker.
Learn how to create and deploy an ESP high availability system using kafka as the message broker and SAS Viya.
The complete guide to SAS Event Stream Processing with Kubernetes provides all the necessary information and guidelines with commands to set up your own Kubernetes cluster and its peripherals.
General overview of the Lua Window and concepts, which allows ESP developers to process events using Lua language scripting.
This project covers various reference architectures for SAS Event Stream Processing (ESP) and includes the best practices based on customer/partner use-case's functional and non-functional requirements.
A functional description with some examples on how to call REST APIs with the REST Subscriber Adapter in SAS ESP including calling the REST API of SAS Intelligent Decisioning.
This repository contains a description of how ESP Routers work, along with simple examples that can easily be extended to more complex use cases.
This repository covers how to integrate the streaming analytics available with SAS Event Stream Processing with Microsoft's Power Automate flows.
This repository includes code snippets that you can execute for the Utilities windows of SAS Event Stream Processing (ESP).
In this repository, you'll learn how to retain events and how to calculate the event throughput rate using SAS Event Stream Processing (ESP).
These examples will give the user an understanding of how to use the Functional window to parse and create event loops over JSON objects.
Learn how to use high-frequency algorithms offered under SAS Analytics for IoT for Condition Based Maintenance
The tutorial talks about various ways of working with dates and times in ESP
Learn how to build and deploy an image classification model
A technical description of how to ingest data from an ESP running project into CAS through the loadStream CAS actionset.
Learn how to setup the SAS ESP monitoring stack to query, visualize, alert on, and explore metrics for ESP projects.
A tutorial that shows how the SAS Micro Analytic Service (MAS) can be used to ingest data into SAS Cloud Analytic Services (CAS).
A tutorial that shows how the SAS Micro Analytic Service (MAS) can be used to ingest data into SQLite.
In this project we will take a look at how you can expand the capabilities of your Lua windows through the use of modules.
This project will show how to use the sendHttp build-in function to query sensor data.
This project gives an example on how to create four smaller images or patches out of one larger image using a Lua window and a Calculate window.
This project will give an example of a custom function which can be used to split an incoming string by a user defined delimiter.
This project will show how to import metadata from a device table and then use this information to enhance the incoming sensor events.
A tutorial that introduces Viya_Manager, an interface to simplify the administration and management of Viya 4 environments on the Cloud.
This example uses the iPhone 11 Location Services to simulate a GPS device.
In this repository you will learn learn how to stream data from an Azure Event Hub into a SAS Event Stream Processing (ESP) model using the ESP EventHub Connector.
In this repository you will learn how to process messages from an Azure IoT Hub with a SAS Event Stream Processing (ESP) project.
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