Azure and Fogwing
Azure and Fogwing Integration
Contents
Azure and Fogwing Integration
To begin your integration project, contact the Fogwing Professional Services Team to rapidly achieve it.
Contact UsOverview
Integrating Microsoft Azure Cloud Storage with Fogwing IoT and CMMS Platform enables organizations to securely transfer and preserve operational data, IoT telemetry, and maintenance records for deeper business intelligence and analytics.
This integration allows Fogwing operational data, including sensor readings, equipment status, production logs, and maintenance data to be automatically pushed to Azure Blob Storage for long-term retention, compliance, and advanced analytics.
By leveraging Azure’s cloud ecosystem, businesses can connect Fogwing data to services like Azure Synapse Analytics, Power BI, and Azure Machine Learning, unlocking real-time insights and predictive intelligence.
This integration helps organizations centralize operational data, improve decision-making, and accelerate their journey toward a data-driven and AI-enabled manufacturing or asset management environment.
Requirements
To enable seamless integration between Fogwing and Microsoft Azure, ensure the following prerequisites are met:
Active Fogwing Subscription with API access.
Microsoft Azure account with an active Blob Storage service.
Azure Storage container(s) created for storing Fogwing data.
Azure access credentials (Access Key, SAS Token, or Service Principal).
Optional: Access to Azure Synapse, Power BI, or Azure Data Factory for data visualization and transformation.
How to integrate with Azure?
Fogwing provides API-based data export capabilities to push both IoT telemetry data and operational records into Azure Blob Storage in near real-time or on a scheduled basis.
The Fogwing Professional Services team assists customers in designing and implementing secure data pipelines, mapping data formats, and integrating with Azure Cloud services for deeper insights.
Integration Steps:
Define Data Scope: Identify the data sets to be pushed — such as sensor data, operational logs, maintenance data, or performance metrics.
Data Mapping: Fogwing engineers collaborate with your Azure data team to define mapping between Fogwing API fields and Azure Blob storage schema.
Setup Secure Connection: Configure Fogwing to connect to Azure Blob Storage using secure authentication tokens or service principals.
Automate Data Flow: Establish automated exports or streaming pipelines to ensure continuous data transfer from Fogwing to Azure.
Validation and Testing: Validate data accuracy, integrity, and synchronization within Azure Blob.
Analytics Enablement: Integrate with Azure Power BI or Synapse Analytics for dashboard, reporting, and predictive intelligence.
To begin your integration, contact the Fogwing Professional Services team by email support (at) fogwing.com for setup, data mapping, and configuration assistance.
Benefits
By Integrating Fogwing with Microsoft Azure empowers organizations to unify their IoT, asset, and operational data in a centralized cloud environment for long-term storage and intelligence.
With Fogwing pushing continuous data streams to Azure Blob, customers can create a scalable and secure data lake to support reporting, AI, and business analytics initiatives.
This integration enhances visibility across assets, production, and maintenance performance while enabling predictive maintenance and operational optimization.
Moreover, Azure’s built-in compliance and data security ensure enterprise-grade protection of all Fogwing-generated data.
The result is a connected ecosystem that transforms raw operational data into actionable insights for improved efficiency and reliability.
About Azure Cloud
Microsoft Azure provides a wide range of services, including high-performance computing, cloud data storage, intelligent data analytics, machine learning services, and networking, which businesses can use to build, test, and run their applications
FAQS
Fogwing can export IoT sensor data, equipment logs, work order history, and asset performance metrics for preservation and analytics.
Yes. The integration supports automated and scheduled data exports based on your business frequency — daily, weekly, or schedule-driven.
Data can be stored in CSV, JSON, or Parquet formats, depending on your downstream analytics requirements.
Absolutely. Once stored in Azure Blob, data can be easily linked to Power BI, Synapse Analytics, or Azure Data Factory for reporting, dashboards, and machine learning.
The integration uses encrypted data transmission, secure authentication, and Azure’s built-in access management to ensure enterprise-grade data protection.
Other Integrations
Integrate Fogwing operational data with Google Cloud Storage for secure preservation, analytics, dashboards, and data intelligence.
Amazon AWS and Fogwing Integration
Connect Fogwing operational data with AWS Cloud Storage for secure preservation, analytics, dashboards, and actionable insights.
Integrate Fogwing with SAP R3/HANA to automate maintenance data, streamline workflows, and boost operational efficiency.