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Oracle Enterprise Manager Cloud Control 12c: Managing Data Center Chaos

You're reading from   Oracle Enterprise Manager Cloud Control 12c: Managing Data Center Chaos Take back control of your data center with this practical step-by-step tutorial to using Oracle Enterprise Manager. Real-life examples and case studies help you manage rationally rather than through day-to-day firefighting.

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Product type Paperback
Published in Dec 2012
Publisher Packt
ISBN-13 9781849684781
Length 394 pages
Edition 1st Edition
Languages
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Author (1):
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PORUS HOMI HAVEWALA PORUS HOMI HAVEWALA
Author Profile Icon PORUS HOMI HAVEWALA
PORUS HOMI HAVEWALA
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Table of Contents (19) Chapters Close

Oracle Enterprise Manager Cloud Control 12: Managing Data Center Chaos
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
1. Chaos at Data Centers 2. Enter Oracle Cloud Control FREE CHAPTER 3. Ease the Chaos with Performance Management 4. Ease the Chaos with Configuration Management and Security Compliance 5. Ease the Chaos with Automated Provisioning 6. Ease the Chaos with Automated Patching 7. Ease the Chaos with Change Management 8. Ease the Chaos with Test Data Management 9. Ease the Chaos with Data Masking 10. Ease the Chaos with Exadata Management 11. Real-life Examples and Case Studies, and It's a Wrap: The Future is the Cloud Index

Chapter 10. Ease the Chaos with Exadata Management

Many people know about Exadata, the extreme performance machine from Oracle for OLTP as well as data warehousing applications. The Exadata Database Machine combines Sun Hardware with Oracle database and storage software, and is installed as a highly optimized and fully engineered system of servers, storage, and software.

One of the open secrets of Exadata is its massively parallel grid architecture, that uses multiple Exadata compute nodes with Oracle Real Application Cluster (RAC) active-active databases, and multiple Exadata storage cells. This results in fast, predictable performance.

The Oracle technologies used in Exadata are complex and manifold, and these technologies must be managed efficiently. One example is controlling the I/O across all the storage cells in an Exadata Database Machine rack. How do you know what database consumes the most I/O across all the cells? Can you control it efficiently?

How do you apply database patches...

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