Modern Infrastructure Helps Data Engineers Deliver Maximum Value

A global survey sponsored by Fivetran and conducted by Dimensional Research reveals that data engineers are struggling with outdated processes, hindering their ability to deliver maximum business value. The majority of data engineers lack the time and technological resources needed for centralizing valuable organizational data, transforming it into useful metrics, and making it accessible to various stakeholders. Two main issues contributing to this problem are data integration challenges and inefficient ETL (Extract, Transform, Load) processes. Automated data integration technology can address these core data engineering challenges by providing prebuilt pipelines that launch on demand, maintenance-free data integration, and accelerated data transformation and modeling. This allows data engineers to focus more on strategic projects such as managing and optimizing core data infrastructure, building custom ingestion pipelines, supporting data team resources with design and performance optimization, and building non-SQL transformation pipelines.