Answer:

· Speed. Build data warehouses and data marts in days or weeks, dramatically faster than traditional ETL tools.
· Agility. Rapidly incorporate changes to data sources, business rules, or other data model components.
· Design automation. Quickly define and deploy data warehouse structures based on proven design architectural approaches, such as Vault, Inmon, and Kimball.
· ETL automation. Automatically generation 80% or more of the “Extract, Transform, and Load” commands, reducing implementation time and resources.
· Enterprise quality. Leverage integrated data profiling, quality and lineage capabilities, and automatically generate project documentation.
· Real-time data warehousing. Relay incremental source updates with continuous change data capture technology, enabling real-time analytics on Redshift.