Overview
Many industrial enterprises struggle to unlock the full potential of their plant and production data as fragmented sources make integration complex and-time intensive. Traditional solutions often lack the flexibility and scalability needed for smart manufacturing initiatives, while maintaining data governance and security remains a constant challenge in industrial environments.
Reply’s Industrial Data Fabric (IDF) solution enables enterprises to seamlessly integrate, contextualize, and leverage their plant data. It streamlines data ingestion from various data sources at the edge location (OPC UA, MQTT, SQL, CSV, HTTP) and contextualizes the data by creating consistent models.
Reply's IDF solution combines the edge-native DataOps HighByte with advanced AWS technologies. By employing consistent data models, organizations can unlock the full potential of their data, transforming it into rich, actionable insights.
The IDF solution incorporates advanced AI models to automate data discovery and enhance efficiency. With unified data models in place, enterprises can harness their data for valuable analytics, visualizations, and real-time monitoring, driving superior performance and gaining a competitive edge.
Key technologies and services: HighByte, AWS S3, AWS RDS, AWS Lambda, AWS Athena, AWS Glue, AWS SiteWise, AWS IoT Core, AWS IoT Events, AWS Grafana.
Highlights
- Seamless integration of diverse industrial data sources (OPC UA, MQTT, SQL, CSV, HTTP) with HighByte contextualization.
- Customizable and scalable framework allowing rapid deployment with a standardized core architecture while maintaining flexibility to specific industry needs.
- Customer data sovereignty with minimal maintenance overhead.
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The IDF solution consists of the following setps:
- Scoping and Definition: Verification of assumption and data modeling with stakeholders. Verification of requirements for installation of HighByte.
- Setup and Data Modeling: Installation and setup of HighByte. Data modeling and contextualization. Creation of data transformation pipelines.
- AWS Setup and Data Ingestion: Setup of AWS infrastructure. Ingestion of data within AWS services.
- Data Analysis and Handover: Dashboarding in the chosen visualization tool, IaC, and documentation.
For more information, reach out to (infodatareply@reply.de ).