The data life cycle is a continuous process that requires attention at every stage. Neglecting any phase can lead to inefficiencies, security breaches, or legal penalties.

IT storage managers are using "information life-cycle management," a nascent concept for managing data from cradle to grave, to make sure records-retention policies are enforced.

Data life-cycle protection is becoming just as important in New Data Center architectures as network security, but challenges abound.

SAS expands the use of Snowflake to unite SAS’ leading analytics and AI platform with Snowflake’s cutting-edge cloud technology. The integration supports the complete AI and analytics life cycle, from ...