Data pipelines orchestrate the journey from data extraction through transformation to loading data into storage or analytical systems. Traditional manual data pipelines, relying on human intervention for tasks like data extraction and transformation, prove time-consuming, error-prone, and lack scalability. They are often built on an ad-hoc basis, lacking standardized processes and governance. In contrast, automated data pipelines present a transformative solution by leveraging software for repetitive tasks, reducing time-to-insights, enhancing scalability, precision, and cost-effectiveness.
In this whitepaper, you will learn about:
The differences between manual and automated data pipelinesThe future trends in data pipeline automationGet practical insights to help your company transition to automated data pipelines
