Title
AWS re:Invent 2023 - Scale enterprise BI securely with Amazon QuickSight (BSI206)
Summary
- Tracy Doherty, the general manager of QuickSight, discussed the mission of QuickSight to make data more accessible within organizations.
- Less than 20% of people in organizations have access to the data they need through BI tools.
- QuickSight focuses on unified BI for all users, scalability, and incorporating generative AI (Gen AI) to make data more approachable.
- QuickSight Q, an NLQ product, has evolved to better understand how users ask questions and want answers.
- QuickSight now allows users to tell a story with their data through presentations and documents, making data more approachable.
- Sean Boone, leading the product management team at QuickSight, emphasized secure scaling and introduced new features like shared restricted folders, IAM Identity Center's trusted identity propagation, and new data source support.
- QuickSight supports SPICE for high-performance caching and direct query for live data querying.
- QuickSight has improved ingestion performance and introduced auto-purchase SPICE capacity.
- Row and column level security is managed directly in QuickSight or through Amazon Redshift with IAM Identity Center trusted identity propagation.
- Amazon Data Zone integration with QuickSight helps catalog, discover, share, and govern data.
- SageMaker Canvas integration with QuickSight enables business users to build predictive models without being data scientists.
- QuickSight provides APIs for automation, deployment, and auditing/logging.
- Ruben Garbade from BMW presented how they integrated QuickSight into their Cloud Data Hub to break data silos and enable insight sharing across the organization.
- QuickSight is used at BMW to manage user access, dashboards, and embed insights into their data portal, leveraging QuickSight APIs for seamless user experience.
Insights
- The persistent challenge in organizations is making data accessible and usable for decision-making, with QuickSight aiming to address this by providing tools that simplify data interaction for all users.
- QuickSight's approach to BI includes a unified authoring experience, scalability through AWS auto-scaling, and the integration of Gen AI to enhance user interaction with data.
- The introduction of shared restricted folders and IAM Identity Center's trusted identity propagation in QuickSight emphasizes the importance of secure and governed data access in enterprise environments.
- QuickSight's support for a variety of data sources, including on-premises, cloud, and third-party applications, along with new additions like Google BigQuery, shows AWS's commitment to accommodating diverse data ecosystems.
- The integration of SageMaker Canvas with QuickSight empowers business users to leverage machine learning for immediate insights, democratizing access to advanced analytics.
- BMW's use case demonstrates how QuickSight can be integrated into an organization's existing data platform to enhance data governance, user access management, and insight sharing, showcasing the flexibility and extensibility of QuickSight through APIs.
- The focus on community engagement and resources like the QuickSight community and Arena indicates AWS's efforts to foster a collaborative environment for users to learn, share, and improve their BI practices.