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ENERGY DATA HUB
Finally, a dedicated energy data repository platform NOT built from scratch.
The Power Catalyst Energy Data Hub turns your data into a valuable corporate asset rapidly, efficiently, and without reinventing the wheel. The light-weight, pre-built components are tailored for the huge volumes of energy market data. Energy Data Hub is the foundation for:
- Operational Data Stores (ODS)
- Information Repositories
- Data Warehouses
- Management Dashboards
- Business Intelligence (BI).
This Power Catalyst concept is proven in the real world:
- The Midwest ISO manages all market data in its 5+ terabyte Operational Data Store based on the Energy Data Hub.
- A Fortune 500 utility is deploying all its new business applications on a data repository platform based on the Energy Data Hub.
- A major municipal utility is aggregating business data from all energy applications into a dedicated instance of the Energy Data Hub, to provide a foundation for analytics, decision support, reporting and alerts to its operations and business users.
- A subscription data repository is being built on the Energy Data Hub, harvesting public information from RTOs worldwide.
Please contact us for information about what specific data types are supported in the most recent release of the Energy Data Hub.
The platform is designed to address key functional requirements:
| Reporting | Data is ready to leverage the power of the major off-the-shelf reporting engines. |
| Navigation | A web-based information browser provides dynamic, context-driven navigation and deep drill-down capabilities. |
| Delivery | Data is delivered near-real-time, and drives meaningful energy enterprise dashboards. |
| Versioning | An integrated versioning paradigm applies across all reference data, transactional data, data processes and business processes. As-Of queries are a snap. |
| Clarity | Energy information is organized into objects, and delivers data sets that meet their definition. Use of CIM/CME as a reference contributes to the universality of the meaning of the data. |
| Transparency | Data processing tasks are visible as a white box, with full logging, versioning, auditing, and replay capability. |
| Accessibility | Information is directly accessible for ad-hoc data mining, cube analysis, statistical processing, etc. |
| Validation | Data is subject to validation and cleansing routines, and non-compliant data is well managed. In particular, validation and reconciliation against master data like counterparties, resources, locations, et.c are performed on the fly. |
| Integration | A light-weight integration framework is specifically designed for energy data, and generates transformations in a fraction of time of traditional approaches. |
| Core Model | A foundation information model meets 50% to 80% of most companies' needs out-of-the-box. |
| Scalability | A diagnostic-driven framework turns maintenance into proactive activity. This includes information about storage space, performance diagnostics, usage patterns, and failure modes to trigger maintenance activity. |
| Tuning | A strategic, multi-objective partitioning and indexing scheme is designed to meet performance needs. |
| Archiving | Archive management supports the entire data life cycle and can track archives, version them, and support restoration. |
Energy Data Hub is tailored to handle billions of records of data, spanning the electric energy data universe. It is based on an ongoing evolution of operational systems, and was iteratively improved through several software generations. The resulting technology addresses hundreds of traditionally problematic areas in the maintenance and use of vast volumes of energy information.
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