Database | PeopleSoft Tutorial - Part 2

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Understanding Oracle Database and PeopleSoft Database

Some of the terms especially when it comes to database are loosely used and may cause confusion when performing a PeopleSoft installation. This post will help you revisit and understand PeopleSoft database concepts when used with Oracle database. When you perform a PeopleSoft installation, you will create these types of PeopleSoft databases: • System (also […]

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How to Find Oracle Hidden Parameters

Oracle has hundreds of initialization parameters, which are hidden and undocumented. Many savvy Oracle professionals are known to commonly adjust the hidden parameters to improve the overall performance of their systems. However, because these are “undocumented” parameters, most Oracle professionals rely on publications such as “Oracle Internals” to get insights into the proper setting for the […]

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Enabling Automated SQL Tuning in Oracle 11g

You need to identify if Automatic SQL Tuning job is enabled and regularly running. Use the following query to determine if any Automatic SQL Tuning jobs are enabled: SELECT client_name, status, consumer_group, window_group FROM dba_autotask_client ORDER BY client_name; If the Automatic SQL Tuning job is enabled, you will see something like this:       […]

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Automated SQL Tuning in Oracle 11g

Oracle Database 11g made it easier for the less experienced to have a shot at SQL tuning, which was earlier considered to be a bastion for veteran SQL tuners. A typical Oracle SQL tuning process had the following steps: Identification of high-resource SQL statements and bottlenecks Generating and interpreting execution plans Extracting data from the […]

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PeopleSoft Performance Tuning Using OEM

PeopleSoft Admins or PeopleSoft DBAs or Oracle DBAs know the importance of finding, analyzing, and correcting resource-intensive SQL statements. Those shops which run PeopleSoft on Oracle can make use of Oracle Enterprise Manager (OEM) in isolating and analyzing troublesome SQL statements.  Using OEM, a DBA can quickly discover the SQL statements most responsible for performance degradation and then drill […]

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