5 results:
ScienceSoft’s big data expert helped a large jewelry manufacturer and retailer speed up ETL migration to a new Incorta-based EDW. Acting as a consultant and developer, he helped the Customer’s in-house team improve their Python and Apache Spark skills and built 7 ETL pipelines to run enterprise-wide reports on inventory management, marketing campaigns, tendering, and more.
ScienceSoft designed an image analysis application to remotely monitor oil store tanks in real time to help the customer optimize inventory management and detect oil leak.
Supporting a satellite agency in their shift to big data, ScienceSoft has assessed the architecture and the technology stack of their future solution, as well as prepared training materials and conducted workshops for their top management and technical team.
ScienceSoft helped a European decentralized energy company identify inefficiencies in its Apache Cassandra database configurations. We provided optimization recommendations to improve the performance of the Customer’s mission-critical energy analytics application.
ScienceSoft helped a leading Internet of Vehicles company enhance their big data analytics capabilities. The solution was designed to analyze the currently available IoT data from 600,000 vehicles connected to their systems and easily scale up to support data growth.
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