OEM Performance: Monitor & Analyze Your Oracle Database скачать в хорошем качестве

OEM Performance: Monitor & Analyze Your Oracle Database

In this video, I'll guide you through using Oracle Enterprise Manager (OEM) to monitor your database's performance. I'll show you how to navigate the performance dashboard, analyze active sessions and wait events, and identify performance bottlenecks. This video is perfect for DBAs, developers, and testers who want to gain real-time insights into their Oracle database. Topics Covered: What is Oracle Enterprise Manager (OEM) and how does it help with performance monitoring? How do I access the performance dashboard in Oracle OEM? How do I monitor cluster host load average in OEM? What is the global cache in Oracle RAC and how does OEM help monitor it? How do I analyze active sessions and wait events in Oracle OEM? How do I interpret the color codes (green, yellow, red) in the OEM performance dashboard? How do I drill down to see the statistics for a specific SQL query in Oracle OEM? How do I use the SQL Worksheet within Oracle OEM? What are AWR reports and how do I generate them using Oracle OEM? How can Developers and Testers use Oracle Enterprise Manager if they don't have DBA access? Start monitoring your Oracle database like a pro! This video provides a clear overview of the most important features for performance analysis. I show you how to navigate OEM and interpret the data to identify and address performance issues. Check out the full playlist here:    • Oracle Performance Tuning: Complete Guide ...   Previous Video:    • Understanding and Interpreting Explain Pla...   Next Video:    • Track Jobs & Analyze Statistics in Enterpr...   If you enjoyed this video, please like, comment, share, and subscribe to ITVersity! Connect with Us: Newsletter: http://notifyme.itversity.com LinkedIn:   / itversity   Facebook:   / itversity   Twitter:   / itversity   Instagram:   / itversity   Join this channel to get access to perks:    / @itversity   #Oracle #OEM #PerformanceMonitoring #SQL #Database #PerformanceTuning