BC remote Oracle DBA - Call (800) 766-1884  
Oracle Consulting Oracle Training Development

Remote DBA

Remote DBA Plans  

Remote DBA Service

Remote DBA RAC

Remote DBA Oracle Home
Remote DBA Oracle Training
Remote DBA SQL Tuning Consulting
Remote DBA Oracle Tuning Consulting
Remote DBA Data Warehouse Consulting
Remote DBA Oracle Project Management
Remote DBA Oracle Security Assessment
Remote DBA Unix Consulting
Burleson Books
Burleson Articles
Burleson Web Courses
Burleson Qualifications
Oracle Links
Remote DBA Oracle Monitoring
Remote DBA Support Benefits
Remote DBA Plans & Prices
Our Automation Strategy
What We Monitor
Oracle Apps Support
Print Our Brochure
Contact Us (e-mail)
Oracle Job Opportunities
Oracle Consulting Prices





Remote DBA services

Remote DBA Support

Remote DBA RAC

Remote DBA Reasons

Remote Oracle Tuning

Remote DBA Links

Oracle DBA Support

Oracle DBA Forum

Oracle Disaster

Oracle Training

Oracle Tuning

Oracle Training

 Remote DBA SQL Server

Remote MSSQL Consulting

Oracle DBA Hosting

Oracle License Negotiation









Oracle Tips 

by Burleson Consulting

The Data Warehouse Development Life Cycle

Parallelism And Oracle Data Warehousing Parallel Processing
Before we get too deep into our discussion of parallel processing, a distinction needs to be made between multitasking and multiprocessing. Multitasking refers to the ability of a software package to manage multiple concurrent processes, thereby allowing parallel processing. OS/2 and Windows-NT are examples of this technology, but multitasking is found within all midrange and mainframe databases. Multiprocessing, on the other hand, refers to the use of multiple CPUs within a distributed environment where a master program directs parallel operations against numerous machines. There are two areas of multiprocessing: hardware and software. At the hardware level, arrays of CPUs are offered, and at the software level, a single CPU is partitioned into separate "logical" processors. The Prism software in the IBM mainframe environment is an example of multiprocessing technology.

In any case, programming for multiprocessors is quite different from programming for linear systems. Multiprocessing programming falls into two arenas: data parallel programming and control parallel programming. Indata parallel programming the data is partitioned into discrete pieces and the same program is run in parallel against each piece (see Figure 7.1). Data parallel can be used in any type of Oracle environment, including uniprocessor, symmetric multiprocessor (SMP), or massively parallel processor (MPP) environments. With control parallel programming, independent functions are identified and independent CPUs are used to simultaneously solve each independent function. Control parallel is generally associated with MPP environments.

Figure 7.1 An example of parallel processing.

One of the greatest problems faced by developers when implementing parallel processing systems is the identification of parallelism. Parallelism refers to the ability of a computer system to perform processing on two data sources at the same time. Whereas many of the traditional database applications were linear in nature, today's systems have ample opportunities for parallel processing.

This is an excerpt from "High Performance Data Warehousing". To learn more about Oracle, try "Oracle Tuning: The Definitive Reference", by Donald K. Burleson.  You can buy it direct from the publisher at 30% off here:


Expert Remote DBA

BC is America's oldest and largest Remote DBA Oracle support provider.  Get real Remote DBA experts, call
BC Remote DBA today.



Remote DBA Service

Oracle Tuning Book


Advance SQL Tuning Book 

BC Oracle support

Oracle books by Rampant

Oracle monitoring software







BC Remote Oracle Support

Remote DBA

Remote DBA Services

Copyright 1996 -  2013 by Burleson. All rights reserved.

Oracle is the registered trademark of Oracle Corporation.