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Best practices for log management and analytics: 1. Set a strategy. Don't log blindly. 2. Structure log data. 3. Separate and centralize log data. 4. Practice end-to-end logging. 5. Correlate data sources. 6. Use unique identifiers. 7. Add context. 8. Perform real-time monitoring.

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Steps to perform log analysis: 1. Obtain and Integrate Test Case Data. Order Test Case Data. Setup and Maintenance of the Test Data Shop. 2. Benefits. Allows DBAs to quickly and easily identify, isolate and undo unwanted changes. 3. Features. Filters log records by various attributes such as table, database, plan, user, job name.

Because most log files are recorded in plain text, the use of any text editor will do just fine to open it. By default, windows will use notepad to open a log file when you double-click on it. Certainly have an app already built-in or installed on system for opening log files.

Steps to perform log analysis: 1. Instrument and collect - install a collector to collect data from any part of your stack. 2. Centralize and index - integrate data from all log sources into a centralized platform to streamline the search and analysis process.

Log correlation is about constructing rules that look for sequences and patterns in log events that are not visible in the individual log sources. They describe analysis patterns that would require human. interpretation otherwise, tied together by logical operators.