Solid Data Foundation of Solar Turbines

When EA Helped A Turbine Company In Its Data Loading Process

One of the world’s leading turbine companies had an enterprise data warehouse but the process of loading the data was taking 12 hours and more. Therefore, Japan and Australia’s data was two days behind. For about ten to twelve hours per day, the warehouse was closed. A critical issue was how to reduce data latency and improve data quality.

[vc_row][vc_column][vc_column_text]Solar Turbines had an enterprise data warehouse. However, the process of loading the data was taking as much as 12 hours. As a result, Japan and Australia’s data were two days behind. The warehouse remained closed for about ten to twelve hours per day. Express Analytics helped redesign the company’s ETL architecture that resulted in increased performance due to lower data latency. It also helped improve data quality.[/vc_column_text][vc_column_text css=””]

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