内存数据库：对同一数据进行实时分析和快速事务处理 [LRN3321].pdf

1、Data Deep Diveat Oracle AI World 25LRN3321 Database In-Memory Real-Time AnalyticsAndy Rivenes,OracleCharlie Lee,Big River SteelAnuj Mohan,Big River SteelDatabase In-Memory:Real-Time Analytics and Fast Transactions on the Same Data LRN3321Charlie LeeSenior Manager IT Software DevelopmentBig River S2A

2、ndy Rivenes Anuj MohanSenior PrincipalProduct Manager OraclePrincipal Enterprise ArchitectBig River SEmployment HistoryDisclaimerViews are the presenters own and not those of Oracle or any employers or affiliates.Education&Association Anuj MohanPrincipal Enterprise Architect,BRSOracle ACE Pro,Founde

3、r Oracle Database SIGOracle Certified Exadata ImplementerOracle Certified RAC ExpertOracle 11g/12c Certified Professional(OCP)4anujmo*Content presented here are mine and do not represent my company.Content here is for learning purpose.Test properly in your non-production environment before implement

4、ing in production.Database In-Memory AnalyticsLRN3321 Database In-Memory Real-Time AnalyticsDatabase In-Memory:Essential for Real-Time Enterprises7Copyright 2025,Oracle and/or its affiliatesReal Time Enterprises must be FAST:Data-Driven:Uses actual dataAgile:Rapidly adapts to changesEfficient:Contin

5、uously optimizesSlow Performance:Enemy of Real-Time8Copyright 2025,Oracle and/or its affiliatesOperational analytics with Database In-MemoryReal-time analyticsGet immediate answers without data transformation wait timeImprove agility with faster data insight,visibility and business intelligenceImpro

6、ved efficiencyEliminates analytic reporting indexes and associated storage consumptionSimplifies managementReduces CPU and I/O consumption for queriesNo more separate ODS and staging layer10 x faster reportingIn-memory aggregation populates report outlines during fast scan operationsRun ad-hoc repor