Why every data role needs Open Data Infrastructure

Modern data teams require flexible and open data infrastructure to accommodate the diverse needs of various roles such as analysts, data engineers, ML engineers, and data scientists, who each utilize different tools and workflows. Traditional centralized data systems fail to meet these needs, often resulting in data duplication, rising costs, and outdated data due to the constraints of a single-platform approach. Open Data Infrastructure (ODI) addresses these challenges by decoupling storage from compute, utilizing open standards like Apache Iceberg and Delta Lake, allowing multiple engines to operate on a single data set without duplication. Fivetran exemplifies ODI by providing a Managed Data Lake Service that ensures reliable, automated data ingestion in open formats, which prevents lock-in and reduces maintenance overhead, facilitating seamless tool integration and efficient data management. This approach supports a dynamic, scalable data ecosystem where each team can use their preferred tools without re-architecting the data stack, enhancing flexibility and experimentation capabilities.