What wasting data engineering talent really costs you

A new report reveals that data engineers spend nearly half their time maintaining data pipelines, costing an average of $520,000 per year. This manual process is inefficient and consumes valuable engineering resources. By automating the data pipeline through managed data integration services, companies can save time and focus on more productive tasks such as building new models and analytics, democratizing access to data, developing internal apps, and continuously seeking opportunities for automation. Automating data integration not only optimizes modern data pipelines but also fosters a data-driven culture within organizations.