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.
If you haven’t found a project similar to yours, don’t hesitate to turn to us for assistance.
Data Analytics System Enabling Cross Analysis of 30,000 Attributes and 100x Faster Reporting
ScienceSoft designed and launched a scalable big data analytics system based on Apache Hadoop, Apache Hive, and Apache Spark. The new solution processes 1,000+ types of advertising data in real time and enables comprehensive analytics for different markets.
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Big Data Pet-Tracking App Handling 30,000+ Events per Second
The app helps pet owners see where their pets are, get instant notifications if their pet leaves a secure territory, and even speak to them. The solution processes data from 1 million devices, and its architecture is designed to easily accommodate user growth.
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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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