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For the purpose of this scenario, the information sources are represented by these operational database systems which are actually relational databases, and are required to be integrated in the data warehouse. Every clinic has also a manager and a number of staff, such as, cleaners, nurses, and etc.
Since, data warehouses are capable of handling server tasks connected to querying, therefore, the proposed implementation of data warehouse would support the company’s transactions systems to complete transactions within a desirable time frame by running the reports and queries on a server.
Allow the users (company staff) to obtain reports and make queries efficiently as data warehouse gives the user control over the response time by storing the older data and the recent data in well-organized manner.
Despite the fact that the company can enjoy many benefits from implementing the proposed implementation, there are some major drawbacks as well which are highlighted in another article at Exforsys (The disadvantages of a data warehouse, n.d.):
Since, data warehouse contains historical data about a company’s transactions, the value of this information might be limited because the businesses operating in today’s market are in constant transition, and therefore, it may not be always worthy to use a historical data.
The process of extracting, transforming, and loading data from the source systems in real-time can be one of the most challenging tasks for any data warehouse. The ETL process normally requires downtime of the data warehouse, and therefore, it is usually carried out late at night to avoid any inconvenience because users cannot access data warehouse during the process. However, there can’t be any system downtime when the data is being loaded continuously in real-time. Unfortunately, most of the traditional ETL tools and systems are incapable of supporting continuous updates in the data warehouse without
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However, at the present business organizations have a wide variety of database systems such as online analytical processing, data warehousing and data mining systems. In this scenario, data warehousing offers effective tools for maintenance, storage and retrieval of data.
The content of the paper comes from four books reviewed by the author and primarily serves the purpose of delivering fundamental knowledge of the topics which are gaining immense importance today (Gray 2001). The target audience of this paper are mostly scholars and researchers who could get basic information and clear definitions of topics mentioned above.
Many organizations are increasingly adopting data warehousing to enhance reporting and decision making. A data warehouse facilitates the integration of data from various sources, data sharing, and provides consistent, organized, relevant and timely information for decision-making.
Data warehousing is a process of centralized data management and retrieval. Data warehouses can have both currents as well as historical data. The data received from various operational resources in an organization is analyzed using different data analysis tools like ETL, OLAP etc. to create various reports.
It was analyzed that there was a correlation of 0.76 between the measures: sales amount and sales quantity. This significantly high correlation value means that the higher the sales quantity, the higher the sales figure. Though this is a logically true relationship, the fact that this is one of the findings from the data in the warehouse makes it an analysis of the data from the data mart.
There are four design approaches to this process that differ by scale of data, action sequences and complexity.
Top-Down Approach assumes that data is transferred from diverse OLTP systems into a centralized place where it could be used for analysis. As Eckerson writes, the major benefit of a Top-Down Approach is that it provides an integrated, flexible architecture to support downstream analytic data structures.
Effective and efficient management of information depends on how good and efficient the data warehouse in an organization is made. Data warehousing is the base for introducing any business intelligence tool in the organization.
After receiving the application, the company feeds the application details in their system with the ‘Pending’ status. The company then checks whether or not the plans meet the relevant building laws and regulations. If the plans are found to
In the contemporary competitive business environment, this has become one of the most popular technologies as decisions become an important determiner of the organizational development. Some of the advantages of data
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