Data Highways: Engineering Reliable and Efficient Migration Pipelines for Modern Enterprises

Abstract

In the era of digital transformation, businesses are increasingly reliant on large volumes of data to make informed decisions and drive operational efficiency. Data migration plays a pivotal role in this process, ensuring that enterprises can effectively transition between systems and environments. This research paper delves into the design and implementation of reliable and efficient migration pipelines, referred to as "Data Highways," that facilitate seamless data transfer within and between organizations. The paper highlights the key challenges faced by enterprises during data migration, the technology stack that can optimize migration processes, and best practices for ensuring minimal disruption and data integrity. With a focus on scalability, automation, and error resilience, this paper aims to provide a comprehensive framework for building and managing data migration pipelines suited for modern enterprises.