Lowering your IT Costs Oracle’s Database Strategy 2000 -2009 and Beyond
Design Goals 2000 – 2009 and Beyond
Is This Your Data Center?
How Are Real Dollars Saved?
Dynamic Cluster Partitioning via Server Pools Example
Instance Caging Approaches
Consolidating All Your Data
Unstructured Content in the Database
OLTP Table Compression Process
Application reads data from the cache, updates it and commits the transaction, which gets propagated to the Oracle database automatically In steady state, data requests are typically satisfied by the local cache content (reference data, preloaded data, etc. )
Open R/O Redo Apply Network Backup Open R/W Transform Redo to SQL Apply
Primary Database Data Guard Broker Logical Standby Database Transform Redo to SQL and Apply Network Redo Shipment Standby Redo Logs
Open Read-Only Primary Database Physical Standby Database Data Guard Broker Redo Apply Network Redo Shipment Standby Redo Logs
Redo Apply or SQL Apply?
Is This Your Software Portfolio?
Software Rationalization
Traditional Scan Processing
Exadata Smart Scan Processing
Additional Smart Scan Functionality
Controlling Auto DOP, Queuing and In. Memory Execution
Start Small and Grow
Design Goals 2000 – 2009 and Beyond
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