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v11.1
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QUICK START
Welcome to Wizata!
What is Wizata?
Who is it for?
Why Wizata?
Use Cases
Architecture
Architecture key components and hosting choices
Roles and permissions
Licensing
DATA HUB
What is the Data Hub ?
Connect your data to Wizata
Time-series data - format & types
Stream and loop on a data file through Azure Event Hub
Upload a small data file through Azure Event Hub
Edge Device
Edge Architecture & Requirements
Register and setup an Edge device
Using Edge to connect your data
Troubleshoot your device
Data Points
Updating your datapoint metadata
Categories, units and labels
Exploring data
Creating datapoints manually
Twins
Creating and connecting Twin Units
Editing twin properties
Adding datapoints to twins
Tutorial: Create Twin from tags list
Events & Batches
Design your Event/Batch solution
Learn how to upload event data
Querying Event datapoints
Query
Data Explorer
Adding Virtual Data Source to the Explorer
Tutorial: Twin Structure and Datapoint Properties summary
AI LAB
What is the AI Lab ?
Tutorials: Use Cases
Tutorial: Anomaly Detection Solution
Template
Managing Business labels
Pipeline
Working with pipelines
Steps
Query step
Script step
Model step
Write step
Plot step
Context of a pipeline
Custom configuration
Pipeline Images
Error Handling
Send Alerts by SMS, Emails, Teams, Slack
Tutorial: Anomaly Detection - Email & Slack Alerts
Experiment
Trigger
Execution
Import custom packages to the platform
CONTROL PANEL
What is the Control Panel?
Navigation
Components
Creating a dashboard component
Chart widget
Sensor widget
Gauge widget
Python Plotly widget
Grafana Component
Iframe embedding
Insights
Insight conditions and severity levels
INTEGRATION
Grafana integration
Link your Grafana environment to Wizata
Query data from Wizata within Grafana
Call a pipeline from a Grafana dashboard
Jupyter Notebook
ML Flow
Streamlit
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Our use cases can be applied to any manufacturing process or asset containing time-series data:
