Oracle RMAN 11g Backup and Recovery Book

EBook Description: McGraw-Hill Osborne Media | 2010 | ISBN: 0071628606 | 688 pages | PDF | 13,4 MB Master Oracle Recovery Master Protect your databases from hardware, software, and operator failures using the detailed information in this Oracle Press guide. Oracle RMAN 11g Backup and Recovery explains how to configure databases, generate accurate archives, and carry out system restores. Work from the command line or Oracle Enterprise Manager, automate the backup process, perform Oracle Flashback recoveries, and integrate cloud computing technology. This authoritative resource also shows you how to create reports, optimize performance, and implement third-party administration utilities. * Set up, configure, and maintain Oracle Recovery Manager (Oracle RMAN) * Manage physical and virtual media with Oracle Secure Backup * Work with Oracle RMAN catalogs, packages, and control files * Use the Amazon Web Services cloud as an offsite storage solution * Create online, offline, and incremental system backups * Perform full and partial Oracle RMAN database restores * Correct user-induced errors with Oracle Flashback * Product clone and standby databases on local or remote servers * Use Oracle Real Application Clusters and synch and split technology keep visiting our site to download Databases free pdf books by rapidshare mediafire and to get Oracle RMAN 11g Backup and Recovery fro megaupload or torrent.

A data warehouse is a system that retrieves data from source systems and puts it into a dimensional data store or a normalized data store. Yes, some data warehouses are in dimensional format, but some data warehouses are in normalized format. Let�s go through both formats and the differences between them. A DDS is one or several databases containing a collection of dimensional data marts. A dimensional data mart is a group of related fact tables and their corresponding dimension tables containing the measurements of business events categorized by their dimensions rapidshare

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Data Mining with SQL Server 2005 Book

Data mining is a key member in the Business Intelligence (BI) product family, together with Online Analytical Processing (OLAP), enterprise reporting and ETL. Data mining is about analyzing data and finding hidden patterns using automatic or semiautomatic means. During the past decade, large volumes of data have been accumulated and stored in databases. Much of this data comes from business software, such as financial applications, Enterprise Resource Management (ERP), Customer Relationship Management (CRM), and Web logs. The result of this data collection is that organizations have become data-rich and knowledge-poor. The collections of data have become so vast and are increasing so rapidly in size that the practical use of these stores of data has become limited. The main purpose of data mining is to extract patterns from the data at hand, increase its intrinsic value and transfer the data to knowledge.

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Data Quality and High-Dimensional Data Analysis Book

World Scientific Publishing Company | 2009 | ISBN: 9814273481 | 106 pages | PDF | 1,8 MB
Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours. Also, the importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This volume targets the data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish.

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An Introduction To Statistical Inference And Data

by Trosset, Michael W.
in category Science & Technology/Mathematics

Multivariate Analysis Of Ecological Data

by Leps, Jan
in category Science & Technology/Physics

The Data Of Ethics

by Spencer, Herbert
in category Philosophy/General

Michiel Steyaert, Arthur H.M. van Roermund, Herman Casier, "Analog Circuit Design: High-speed Clock and Data Recovery, High-performance Amplifiers, Power Management"

Analog Circuit Design contains the contribution of 18 tutorials of the 17th workshop on Advances in Analog Circuit Design. Each part discusses a specific to-date topic on new and valuable design ideas in the area of analog circuit design. Each part is presented by six experts in that field and state of the art information is shared and overviewed. This book is number 17 in this successful series of Analog Circuit Design.

Network Security & Ethical Hacking

Network Security & Ethical Hacking

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