Building a Data Engineering Stack That Boosts Scalability
Chart Mogul
NOVEMBER 30, 2023
Updating the data engineering stack streamlined data processing; reducing the time and effort invested in manual data handling. The aim was to ease data access across the company and allow data engineering functions to scale. Nowadays, these are packaged and deployed in docker images, and executed via AWS lambda or EKS pods each day.
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