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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 Garan, a 4,000-employee US retailer, optimize its reporting solution that was processing over 300GB of ORC files daily. In 6 weeks, Garan made critical improvements to its HDFS, Spark, and Hive configurations and received a cloud migration roadmap.
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.
ScienceSoft deployed an on-premises Hadoop lab for one of the largest US colleges. Now, their students can get hands-on experience with HDFS, MapReduce, Apache Hive, Apache Spark, Apache Pig, and other big data technologies.
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