Key elements to include in a data warehouse architecture
Posted: Wed Jan 08, 2025 3:18 am
The virtual part of the data warehouse is then connected to different applications to be exploited via an interface . Generally, Business Intelligence tools are used to intuitively visualize and analyze all this mass of data. They take the form of query forms, interactive tables, analytical reports, etc. Data analysts can therefore easily create relevant graphs and diagrams according to the needs of the company. Numerous filters allow you to refine searches, explore subsets, and enter precise search criteria, or even configure real-time alerts and notifications on incoming and newly classified data flows.
The architecture cambodia phone data of a data warehouse is quite complex and is therefore handled by IT and data science experts. They will have to set up the hardware and software part.
Servers and large capacity memory
First of all, it will be necessary to install powerful servers to host the system . To be efficient and scalable, they require high-power processors, but above all a large memory. For a normal-sized company, this is counted in hundreds of terabytes. This will have to be an assembly of different types of memory depending on the applications that will have access to it, to optimize the response time and the cost of the installation. For example, data that requires rapid or immediate access can be stored on SSD disks , or even RAM , but at significant costs. For commonly used information, a classic hard disk system , but with a large capacity, will do the trick.
The architecture cambodia phone data of a data warehouse is quite complex and is therefore handled by IT and data science experts. They will have to set up the hardware and software part.
Servers and large capacity memory
First of all, it will be necessary to install powerful servers to host the system . To be efficient and scalable, they require high-power processors, but above all a large memory. For a normal-sized company, this is counted in hundreds of terabytes. This will have to be an assembly of different types of memory depending on the applications that will have access to it, to optimize the response time and the cost of the installation. For example, data that requires rapid or immediate access can be stored on SSD disks , or even RAM , but at significant costs. For commonly used information, a classic hard disk system , but with a large capacity, will do the trick.