Edge Streaming Analytics Overview

 

Edge Streaming Analytics - Reduce decision latency through streaming analytics on the edge

Edge Streaming Analytics is a powerful cloud-based tool for creating stream processing workflows that can be deployed to edge devices. It helps manufacturers and industrial companies to reduce time-to-market for any analytics-based improvement like predictive maintenance, operational excellence or energy efficiency.





  • Visually develop your stream processing workflows in Edge Streaming Creator
    • Use out-of-the-box data connectors and analytics functions
    • Include your own code and models for custom functions
    • Test and debug on an edge device immediately
    • Collaborate on projects within your tenant
  • Manage streaming projects in multiple environments with Edge Streaming Manager
    • Monitor engine health and streaming projects
    • Automate deployments across multiple devices
    • Deploy projects with zero-downtime
    • Debug projects and select variables to track

 

Installation steps

Please also read the "Getting Started Section" and the readme file provided with the installation steps

  1. Once you have purchased the product, you will get 2 apps deployed to your tenant's launchpad. Please ensure that users get the privilege to access these apps via the "User settings" app
  2. Ensure that you register in the Siemens Industry Online Support portal (support.industry.siemens.com)
    1. Then request access to the Edge Streaming Analytics download page at https://signin.siemens.com/rolemanagement/protected/RequestAccess.aspx?systemKey=SERVICE&siteKey=ESA&lang=en&ret=https://support.industry.siemens.com/
    2. After your request has been approved, an email will be sent to you. Now go to the download page at  https://support.industry.siemens.com/cs/document/109770728/edge-streaming-analytics?dti=0&dl=en&lc=de-WW
    3. While accessing the download link, you will be asked to walk through an Export Customs Control check. This approval may take 1-2 days
  3. Carefully read the install instructions in the readme file provided with the installation steps - depending on your desired setup you may need to install further software like Mosquito MQTT libraries or other Python libraries at your need
  4. In order to onboard your edge device to MindSphere for accessing the streaming engine on the device from the cloud, please ensure you have the rights to create assets in the Asset Manager (ask your admin to grant asset creation rights in the "User settings" app