Proper Scanning Resolution

Written by Maricon Williams


One thing to master about scanning isrepparttar proper scanning resolution. The proper resolution to scan depends on how you intended it to be used.

Before scanning it is important to know these five vital information: size ofrepparttar 107250 original image, size ofrepparttar 107251 printed image, LPI at which your image will be printed, resolution multiplier andrepparttar 107252 process of editingrepparttar 107253 scanned image. The hint is -repparttar 107254 higherrepparttar 107255 resolution,repparttar 107256 largerrepparttar 107257 file size.

To calculaterepparttar 107258 final image resolution, these arerepparttar 107259 solutions:

1.Ifrepparttar 107260 size ofrepparttar 107261 image is absolute, multiply LPI by your resolution multiplier. Ex. LPI x 2 for brochures.

2.ifrepparttar 107262 size ofrepparttar 107263 image is not absolute, multiply LPI by your resolution multiplier and thenrepparttar 107264 size ofrepparttar 107265 final image as a percentage torepparttar 107266 original. Ex. LPI x 2 x %.

In cases of commercial printing, ask your print shop if you do not knowrepparttar 107267 required LPI as well as other specifications.

Scanning at a slightly higher resolution is most ofrepparttar 107268 time advantageous. By that, it is easier to dump unneeded resolution after scanning. Moreover, reduce your image torepparttar 107269 final resolution before placing it in your document for printing.

Introduction to Data Warehousing

Written by Exforsys.com


This tutorial starts withrepparttar introduction to Data Warehousing, Defination of OLAP, difference between Data warehouse andrepparttar 107249 OLTP Database, Objectives of data warehousing and data flow.

Computerization of business processes; technological advances in transmission and storage of data; and powerful database management tools have opened up new possibilities of data manipulation and analysis. Business managers are eager to explorerepparttar 107250 repositories of current and historical data to identify trends and patterns inrepparttar 107251 wrap and hoof of business. They hope to mine data and use them for taking intelligent business decisions. In this context, industries are increasingly focusing on data warehousing, Online Analytical Processing (OLAP), and other related technologies.

What'srepparttar 107252 Difference

‘Data warehouse’ and ‘OLAP’ are terms which are often used interchangeably. Actually they refer to two different components of a decision support system. While data in a data warehouse is composed ofrepparttar 107253 historical data ofrepparttar 107254 organization stored for end user analysis, OLAP is a technology that enables a data warehouse to be used effectively for online analysis using complex analytical queries. The differences between OLAP and data warehouse is tabulated below for ease of understanding:

Data Warehouse

Data from different data sources is stored in a relational database for end use analysis

Cont'd on page 2 ==>
 
ImproveHomeLife.com © 2005
Terms of Use