Reinventing business intelligence with Amazon QuickSight and Q

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" summary

Amazon positions Amazon QuickSight as a serverless architecture BI that scales to tens of thousands of users, uses the SPICE in-memory engine, and charges on a pay-per-session model to cut idle capacity costs. It adds ML features: automated narratives, SageMaker integration, and natural language querying (Q) that translates plain-English intent into SQL-like queries. New governance: namespaces for multi-tenancy, column-level security, embedded authoring, seven new visuals. Reported customer results: Best Western >23,000 users and >50% cost reduction versus their prior tool.

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" chapters (6)

1. 0:00Intro
2. 0:44Challenges with existing Bl platforms
3. 3:12How is Amazon QuickSight differentiated?
4. 12:07Enterprise governance using folders
5. 17:45Key benefits
6. 20:14Hard problems we are tackling

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