Because data in the clean energy sector is only as valuable as the speed at which it can be utilized, the efficiency of a provider’s ingestion architecture is a critical factor in asset performance. As renewable energy portfolios expand and technology stacks become increasingly complex, many asset management providers eventually encounter a “data swamp” where they struggle to transform fragmented telemetry from various OEMs into actionable insights.
At Omnidian, we recognized that standard ingestion methods wouldn’t scale alongside the growing complexity of our clients’ portfolios, which led us to focus on building a more intelligent engine through the adoption of Declarative Pipelines.
While our ingestion architecture is robust enough to handle critical workloads across thousands of sites, this process can be manually restricting, especially as the number of data sources and schemas expand. Every new data source requires significant custom engineering efforts and additional infrastructure overhead.
To address these challenges, we transitioned to a declarative approach that allows our systems to define the desired end result rather than requiring engineers to program every individual step of the process. This shift is comparable to using a GPS system where the user only needs to define the destination, as the underlying technology handles the complex mechanics of the route automatically.
By implementing this configuration-driven model, we’ve standardized our operations across all OEMs and significantly reduced the cognitive overhead for our engineers, which allows them to focus on advanced analytics rather than repetitive infrastructure maintenance.
The transition to Declarative Pipelines has yielded measurable improvements in both speed and cost efficiency, as demonstrated by a recent migration of one of our core solar ingestion workflows. In our evaluation, this like-for-like migration reduced execution costs by over 50% and improved processing times by up to 5x compared to prior implementation.
These efficiencies provide our clients with greater agility, because we can now support new hardware or market changes by updating a configuration file rather than initiating a months-long engineering project.
By adopting this foundation, Omnidian is positioned to scale data quality monitoring and respond to the evolving needs of the clean energy market with greater transparency and accuracy.
This strategic technical shift ensures that our engineers remain focused on data integrity and innovation, which ultimately safeguards your assets and ensures that your data remains the most powerful tool in your portfolio.
