Low Latency: Speed and cost of implementation are interrelated and are important factors for shifting to a modern data warehouse architecture. Data ops is used for debug fixing, DevOps for migration, activities like customizable template library for writing/creating/exporting metadata. Having automatic code/ ETL scripts/programs/jobs running schedule generation using a metadata repository reduces a lot of development time and effort, and reduces risk of mistakes. The ability to self-observe the data warehouse combined with easy access controls to restrict or open traffic to the database nodes and easy database node resizing so you can scale your database resources up or down as needed
