Data Warehousing
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- Category: Science
- Date Submitted: 01/29/2010 01:41 AM
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Data Warehousing
Data warehouse is a repository of an organization's electronically stored data. Data warehouses are designed to facilitate reporting and analysis[1].
This definition of the data warehouse focuses on data storage. However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata.
In contrast to data warehouses are operational databases that support day-to-day transaction processing.
In the past, it was very difficult for managers or executives to get {draw:frame} information about their company as a whole. This is still challenging today for companies that don't use data {draw:frame} warehouses. When a company uses a number of different systems, the {draw:frame} information they retrieve can be inconsistent. Data {draw:frame} warehouses are useful because they collect data and remodel it. The {draw:frame} information is placed in a single unit, and the company can get a clear picture of how their company is performing. Most importantly, they will be able to make decisions with a great deal of confidence. Data will be stored in the warehouse from multiple sources. Once the data is stored, it must be cleaned and transformed.
Figure: Data Warehousing Environment
Understanding The Challenges of Using Data Warehouses
While data {draw:frame} warehouses can be greatly beneficial to the companies that use them, there are many challenges that a company will face in their implementation and utilization. Some experts have even said that data warehouses are one of most overrated tools in the computer industry.
It is also important for {draw:frame} companies to...
Data warehouse is a repository of an organization's electronically stored data. Data warehouses are designed to facilitate reporting and analysis[1].
This definition of the data warehouse focuses on data storage. However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata.
In contrast to data warehouses are operational databases that support day-to-day transaction processing.
In the past, it was very difficult for managers or executives to get {draw:frame} information about their company as a whole. This is still challenging today for companies that don't use data {draw:frame} warehouses. When a company uses a number of different systems, the {draw:frame} information they retrieve can be inconsistent. Data {draw:frame} warehouses are useful because they collect data and remodel it. The {draw:frame} information is placed in a single unit, and the company can get a clear picture of how their company is performing. Most importantly, they will be able to make decisions with a great deal of confidence. Data will be stored in the warehouse from multiple sources. Once the data is stored, it must be cleaned and transformed.
Figure: Data Warehousing Environment
Understanding The Challenges of Using Data Warehouses
While data {draw:frame} warehouses can be greatly beneficial to the companies that use them, there are many challenges that a company will face in their implementation and utilization. Some experts have even said that data warehouses are one of most overrated tools in the computer industry.
It is also important for {draw:frame} companies to...