Analysis: Cloud growth drives automated data movement

IDC research shows that automated data movement enables organizations to improve insights and derive more value from cloud data warehouses and lakes. Automated ELT, the modern successor to traditional ETL (extract, transform, load), provides nearly instant, self-service access to data and allows data development teams to allocate engineering resources to important business-supporting activities. An automated data movement platform uses the ELT methodology alongside 200+ prebuilt connectors that automatically adapt as schemas and APIs change to ensure consistent and reliable access to data. This enables organizations to unify and continually synchronize data from disparate sources, including databases, applications, files and events.