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A leading global solar innovation firm experienced gaps in reporting and analytics capabilities. Their system consisted of five international databases that allowed for data storage but lacked the ability to be leveraged for data queries. The separate databases prevented information sharing between applications. Key issues to be addressed included:
As a leading Big Data services provider, we designed and implemented a Hadoop™ data lake consolidating the unconnected data from the five databases. The data lake was built on Amazon Web Services (AWS)™ as a scalable and centralized solution. The solution, coupled with our process improvements, leveraged their deep data science expertise and resolved the previous issues. The solution provided an automated predictive model with a self-service yield calculation reporting solution.
Our solution ultimately provided the following values to the client: