
Brand platform builds secure data ecosystem with Snowflake
An easy implementation helped them to rapidly prototype data pipelines to find a robust, accurate, and future-proof approach to data.
An easy implementation helped them to rapidly prototype data pipelines to find a robust, accurate, and future-proof approach to data.
The weight loss industry leader’s new class of customer services are being driven by microservices and fast data
NashTech helped to replace Amazon SNS and SQS messaging layer with an event-driven architecture based on NashTech Cloud solution and Apache Kafka.
By moving from Hyper to NashTech, they solved challenges in Tableau and achieved scalability without performance penalties.
Automating processes and increased data processing from 6 hours to 6 seconds for complex analytics.
NashTech intoduced a unified data lake and streamlined the machine learning lifecycle, allowing data science and analysts to work more easily on the data together.
NashTech’s designed microservices architecture helps one of the largest eCommerce companies in Korea cut their go-to-market time in half and simplify maintenance and productivity between
NashTech’s multi-cluster shared data architecture enabled American multinational corporation to build a scalable data mesh, increasing regular data utilisation across the business by 5.5 times.
NashTech provided a Lakehouse Solution that has fostered a scalable and collaborative environment across data science, leading to a 70% reduction in operational costs.
NashTech implemented a cloud solution that enabled the bank to seamlessly integrate its various systems with its data platform, enable the use of the new
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