Selected Success Stories from Our 3,600-Project Portfolio
ScienceSoft renders Apache Spark services to help companies implement and support their big data solutions. Check our big data success stories to see how the Apache Spark framework facilitates streaming and batch data processing, interactive analytics and machine learning to help companies quickly derive actionable insight out of their big data.
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Big Data Implementation for Advertising Channel Analysis in 10+ Countries
Migration to a new analytical system that ScienceSoft implemented helped one of the top market research companies secure an innovative big data solution based on Apache Hadoop, Apache Hive, and Apache Spark frameworks. The new system was 100 times faster compared to the old one and could process 1,000 different data formats.
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Development of a Big Data Solution for IoT Pet Trackers
To support a long-term customer in a new service launch, ScienceSoft delivered a scalable IoT data management solution that allowed processing 30,000+ events per second from 1 million devices.
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Big Data Consultancy and Team Augmentation for a Jewelry Company
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.
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Big Data Platform MVP Development for a Global Consulting Company
ScienceSoft delivered an MVP of collaboration software the Customer used to provide consultations on large-scale construction projects.
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