hollister co france Introduction to Data Warehousi

Supports the [link widoczny dla zalogowanych] data analyst in real time and enables onlineanalysis of data with speed and flexibility.
Ralph Kimball the co-founder of the data warehousing concept hasdefined the data warehouse as a ""a copy of transaction dataspecifically structured for query and analysis".
Data is a data warehouse is consolidated, flexible collection ofdata Supports analysis of data but does not support onlineanalysis of data.
Computerization of business processes; technological advances intransmission and storage of data; and powerful databasemanagement tools have opened up new possibilities of datamanipulation and analysis. Business managers are eager toexplore the repositories of current and historical data [link widoczny dla zalogowanych] toidentify [link widoczny dla zalogowanych] trends and patterns in the wrap and hoof of business.They hope to mine data and use them [link widoczny dla zalogowanych] for taking intelligentbusiness decisions. [link widoczny dla zalogowanych] In this context, industries are increasinglyfocusing on data warehousing, Online Analytical Processing(OLAP), and other related technologies.
Online Analytical Processing [link widoczny dla zalogowanych] [link widoczny dla zalogowanych]
Data Warehouse
'Data warehouse' and 'OLAP' are terms which are often usedinterchangeably. Actually they refer to two different componentsof a decision support system. While data [link widoczny dla zalogowanych] in a data warehouse iscomposed of the historical data of the organization stored forend user analysis, OLAP is a technology that enables a datawarehouse to be used effectively for online [link widoczny dla zalogowanych] analysis usingcomplex analytical queries. The differences between OLAP anddata warehouse is tabulated below for ease of understanding:
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A tool to [link widoczny dla zalogowanych] evaluate and analyze the data in the [link widoczny dla zalogowanych] data warehouseusing analytical queries.
Data from [link widoczny dla zalogowanych] different data sources is stored in a relationaldatabase for end use analysis Data is organized in summarized,aggregated, subject oriented, non volatile patterns.
A tool which helps organize data in the data warehouse usingmultidimensional models of data aggregation and summarization.
Data from different data sources is stored in a relationaldatabase for end use analysis
What's the Difference
Both definitions highlight specific features of the datawarehouse. The former definition focuses on the structure andorganization of the data and the latter focuses upon the usageof the data. However, a listing of the features of a datawarehouse would necessarily include the aspects highlighted inboth these definitions.
This tutorial starts with the introduction to Data Warehousing,Defination of OLAP, difference between Data warehouse and theOLTP Database, Objectives [link widoczny dla zalogowanych] of data warehousing and [link widoczny dla zalogowanych] data flow.

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