Oracle 10g/11g Data and Database Management Utilities

Oracle 10g/11g Data and Database Management Utilities By Hector R. Madrid
Publisher: Packt Publishing 2009 | 432 Pages | ISBN: 1847196284 | File type: PDF | 6 mb



Master twelve must-use utilities to optimize the efficiency, management, and performance of your daily database tasks
Optimize time-consuming tasks efficiently using the Oracle database utilities
Perform data loads on the fly and replace the functionality of the old export and import utilities using Data Pump or SQL*Loader
Boost database defenses with Oracle Wallet Manager and Security
A handbook with lots of practical content with real-life scenarios

In Detail
Does your database look complicated? Are you finding it difficult to interact with it? Database interaction is a part of the daily routine for all database professionals. Using Oracle Utilities the user can benefit from improved maintenance windows, optimized backups, faster data transfers, and more reliable security and in general can do more with the same time and resources.

You don't have to reinvent the wheel, just learn how to properly use the Oracle Utilities to achieve your goals. This is what this book is about; it covers topics oriented towards data management, session management, batch processing, massive deployment, troubleshooting, and how to make the most out of the frequently used DBA tools to improve your daily work.

Data management is one of the most frequently required tasks; doing a backup is a must-do task for any company. Data management includes several tasks such as data transfers, data uploading and downloading, reorganizing data, and data cloning, among many others. If people learn to use a tool and things appear to go well, few will question if their approach is optimal. Often it is only when maintenance windows start shrinking, due to the amount of data and business availability, that problems with any particular approach get identified. If people get used to the old export/import utilities to perform data management and if it works, they probably will consider the problem solved and will continue to use an obsolete tool. This book explores further possibilities and new tools. It makes the user question if his/her current environment is optimized and teaches how to adopt more optimized data management techniques focusing to the tools and the requirements most frequently seen in modern production environments.


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