Customers today may struggle to implement proper access controls and auditing at the user level when multiple applications are involved in data access workflows....
As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to...
Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach....
Organizations are increasingly employing innovative technology called “data virtualization” (DV) to tackle high volumes of data from varied sources. Data virtualization is widely used...
Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture...
Many organizations use identity providers (IdPs) to authenticate users, manage their attributes, and group memberships for secure, efficient, and centralized identity management. You might...
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs...
Are you drowning in data? Feeling shackled by rigid data warehouses that can’t keep pace with your ever-evolving business needs? You’re not alone. Traditional...
An organization can define its Data Quality goals and standards, and the steps needed to accomplish those goals, by creating a Data Quality framework....
