Expert Oracle Practices: Oracle Database Administration from by Pete Finnigan, Alex Gorbachev, Randolf Geist, Visit Amazon's

By Pete Finnigan, Alex Gorbachev, Randolf Geist, Visit Amazon's Tim Gorman Page, search results, Learn about Author Central, Tim Gorman, , Connie Green, Charles Hooper, Jonathan Lewis, Niall Litchfield, Visit Amazon's Karen Morton Page, search results, Learn

This e-book is an anthology of potent database administration thoughts representing the collective knowledge of the OakTable community. With an emphasis upon performance―but additionally branching into safety, nationwide language, and different issues―the publication is helping you convey the main price to your company’s funding in Oracle Database applied sciences. You’ll learn how to successfully plan for and display screen functionality, to troubleshoot systematically while issues get it wrong, and to regulate your database instead of letting it deal with you.

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If you’ve caught yourself smiling reading these lines, you know what I’m talking about. For the rest of you, be very careful with the strategy of buying time. It might backfire—I warned you! Efficiency vs. Effectiveness One good strategy to fight a demand for immediate action is to distinguish between efficiency and effectiveness. Efficiency is all about the process; it means to act so that you save time, money, and effort. Effectiveness is all about the result—how well the job gets done, and the quality of the output.

These days more and more books are published, so readers need to do a bit of research to make sure a particular book is a reliable source of high-quality information. Be careful to base your decisions on the quality rather than the number of books published; quantity doesn’t automatically translate into quality. • The Internet has made it possible to access thousands of articles that people share via blogs, forums, email lists, and other social networks. Just as with books, but to the greater extent, be careful not to trust blindly everything written on the Internet.

Perhaps the root cause is inefficient SQL that needs fixing. Or perhaps we require a heavy redesign of the data model to make that SQL scalable. How do we choose what areas to improve without taking a guess? The answer is in the requirements— never lose sight of the business requirements. In this case, our requirement is to handle the current peak number of online orders. We might also have a requirement to be capable of handling three times the current order rate in one year as our business keeps growing.

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