
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.
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 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.
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