Business Intelligence Applications

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tanjimajuha20
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Joined: Thu Jan 02, 2025 7:05 am

Business Intelligence Applications

Post by tanjimajuha20 »

For scalability reasons , it is important to provide free slots on the racks, to increase the storage capacity and the power of the processors, if the company grows or sees its needs increase. Communication between the servers must be fluid and therefore of excellent quality. Similarly, parallel links must be installed, to prevent a fault in one of them. Thus, the breakage of a network link will have only minor consequences during the kazakhstan phone data repair time. And since we are talking about hardware loss, it is essential to provide a backup system . A very large capacity memory that will be regularly supplied to be a mirror copy of the main warehouse. It must be independent and protected, and will serve as a restoration system as a last resort.


This entire system will be connected to Business Intelligence applications and software to enable use by operators. These applications will need to include a database management system, which will act as the main interface, and the ETL process for extracting and transforming data, which will feed the warehouse. Many Business Intelligence applications exist, and some are developed for the sole use of a company. We cannot therefore list them here, but they are necessary to use a data warehouse . To complete this tour of the digital warehouse, it is worth noting the growing importance of metadata , the real identity cards of raw data, which will need to be managed by dedicated software.

How to set up a data warehouse?
Needs analysis and architecture design
The implementation of a data warehouse is generally led by a team of IT experts, who may hold a bachelor's degree in data science, for example. A data architect will design the overall architecture of the system, a data engineer for the technical implementation and initial configuration... But also database administrators , business intelligence analysts and, if possible, cybersecurity experts. Once the company's objectives and needs have been defined, the data architect designs a system that balances performance and hardware costs, to rationalize the investment. He will choose the appropriate type of network, and will be able to order the different hardware.
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