Self-service data warehousing
summary
Oracle bundles Autonomous Database with ready tools—Data Transforms, Catalog, Insights—so a departmental analyst can load CSVs or cloud objects, fix case and extra-month errors, and build an analytic view without hand coding. The demo creates Movie_Sales_2020_Q2, automatically detects dimensions and hierarchies, and populates materialized aggregate caches for transparent, fast queries; the Insights tool runs ML (regression/slope) to flag anomalies. The end-to-end flow is preinstalled, federates cloud stores, and produces immediate, traceable results.
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chapters (18)
- 0:00Intro
- 2:16Data analysis in the traditional market Best-of-breed enterprise-class tools, tailored for the specialist
- 3:15Autonomous Database expands addressable market for Oracle
- 4:30Different customer profile in new market
- 5:04The data analysis medley
- 6:53Enterprise Data Warehouse
- 7:32Budgets shift to lines of business
- 7:43Dawn of self-service era Proliferation of tools to address requirements of fragmented market
- 8:41Transition from self-service to autonomous analytics Essential ingredients are data consolidation and continuous learning from user actions
- 12:20Oracle Autonomous Database as Modern Data Warehouse Empower business innovators with next generation doud data warehouse
- 13:15Oracle Movie Stream
- 14:58Data Load
- 17:17Data Transforms
- 19:25Business model in the database promotes consistency
- 19:48Performance: Business models optimize query processing
- 24:25Data Insights
- 26:06Catalog
- 29:15Autonomous Database with built-in tool suite The next-generation DB Cloud Service from the industry's leader for data management
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