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Announcing DataFabric Integration With Microsoft Azure

Real-Time Data
Classification & Analytics

Swim DataFabric for Azure enables businesses to connect any number of data-generating assets for real-time data classification, reduction, analysis and prediction. DataFabric is fully integrated with Microsoft Azure services and can be quickly deployed and managed using Microsoft Azure IoT Edge. Edge and streaming data can now be economically collected and analyzed in real-time with insights and labeled data delivered to Azure Data Lake Storage for use by enterprise applications, Azure Power BI or Azure Power Apps

New! – Read the Press Release

Solution Benefits

SOLUTION BENEFITS

Faster

Processing Data locally
Transform in real-time
Combine all your dta sources

Cheaper

No Database licenses
No ETL costs
No new hardware or 3rd party software

Easier

Simple configuration
Effortless onboarding
Scale to massive data volumes



SOLUTION BENEFITS

Transformation

Edge and streaming data are processed immediately by the DataFabric to provide clean labeled data and analytic results. Raw data is transformed into the Azure Common Data Model (CDM) format for use by business and Azure applications.

Deployment

DataFabric can be distributed and deployed anywhere to act on data locally, even when not connected to the cloud. DataFabric is also fully integrated with Azure IoT Hub for provisioning and lifecycle management.

Visualization

DataFabric provides both real-time visualizations and labeled data is immediately delivered to Azure for use in Power BI dashboards and reports. DataFabric delivers any alerts or issues to Dynamics 365 for immediate use by connected field services or other support personnel.

Delivery

Transformed data and insights are delivered in real-time to any Azure Service, including Azure Data Lake (ADLS Gen2), for long term storage and historical analysis.


Azure Blog

“Compute and stream IoT insights
with data-driven applications”

Read the latest blog from Azure industry experts providing their perspective on edge computing and IoT.

View the Microsoft Blog