Case Study Tags: Data Engineering
Migrating and Modernizing Victoria’s Secret & Co. Analytics and Reporting Workloads from On-prem to Azure and Snowflake Stack
The evolving landscape of data analytics necessitates that organizations adopt more flexible, scalable, and cost-effective solutions. Traditional on-premises systems, while robust and reliable, often face limitations in handling the increasing volume and velocity of data.
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Tiger Analytics Powers Faster Data-to-Insights Visualization For Pharma Co with AWS SageMaker
Early and accurate disease prediction is paramount in the race for groundbreaking medical advancements. A leading pharmaceutical company is at the forefront of this pursuit,
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