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BearingPoint implements an event streaming solution for electricity system operators to modernize their control centers. The solution addresses challenges such as scaling to handle increasing data volumes, managing unpredictable renewable energy, and processing real-time data to prevent outages.
Using Confluent's data streaming platform at its core, BearingPoint transforms monolithic, vendor-locked systems into modular, interoperable platforms. The architecture incorporates event-based patterns like SAGAs and Event Sourcing to manage critical grid assets and integrate hundreds of thousands of sensors. This enables real-time decision-making and grid optimization, leveraging Confluent's expertise in setting data in motion for sophisticated software-driven operations.
Transform your electricity control centers with BearingPoint's Confluent-based event streaming solution. Our approach modernizes legacy systems, enabling real-time data processing and decision-making for optimal grid management. By leveraging Confluent's powerful data streaming platform, we create a flexible, scalable architecture that meets the evolving demands of the energy sector.
Enhance grid stability and prevent outages through real-time data analysis.
Seamlessly integrate renewable energy sources with improved forecasting capabilities.
Scale effortlessly to handle increasing data volumes from millions of smart devices.
Reduce operational costs by replacing vendor-locked systems with interoperable platforms.
Improve decision-making with instant access to critical grid information.
This use case leverages the following building blocks in Confluent Cloud:
Continuously ingest data from various producers, ERP systems, and grid data models while leveraging pre-built source connectors.
Leverage stream processing with Flink for data normalization, enrichment, validation, and correlation.
Use Schema Registry as part of Stream Governance to manage and validate schemas, ensuring data consistency and compatibility as schemas evolve.
Contact BearingPoint to learn more about this use case and get started.