What is a data warehouse?
Posted: Wed Jan 08, 2025 3:18 am
An essential tool for data mining and other data collection and processing processes, data warehouses , also called data warehouses , were invented in the 1990s. They consist of a centralized storage system for data collected using various known data mining techniques. They constitute the source from which algorithms will draw the data to be processed, making them absolutely essential in any process related to big data or artificial intelligence. They are therefore found at the heart of most business IT systems, such as financial services, telecoms, but also the public sector, administration and health, not to mention of course the commercial sector.
We must imagine data cambodia phone data warehouses as virtual warehouses in which all the collected data is stored . In short, it is nothing more and nothing less than a colossal database, but structured in a certain way, organized and above all accessible by other software. It is therefore not only used for storage, but must be optimized to allow Business Intelligence tools to access it quickly for ad hoc analyses and thus allow their exploitation in reports, tables or predictive models, or even artificial intelligence .
It is a centralized system , capable of receiving, cleaning and organizing the enormous amount of raw data extracted upstream. These are virtually stored according to a structure specific to each company, according to its needs and especially the analysis tools it has. There is therefore no default data warehouse model, and it is up to an IT expert hired by a company to create it from A to Z according to local needs. This is the main difference with a data lake.
We must imagine data cambodia phone data warehouses as virtual warehouses in which all the collected data is stored . In short, it is nothing more and nothing less than a colossal database, but structured in a certain way, organized and above all accessible by other software. It is therefore not only used for storage, but must be optimized to allow Business Intelligence tools to access it quickly for ad hoc analyses and thus allow their exploitation in reports, tables or predictive models, or even artificial intelligence .
It is a centralized system , capable of receiving, cleaning and organizing the enormous amount of raw data extracted upstream. These are virtually stored according to a structure specific to each company, according to its needs and especially the analysis tools it has. There is therefore no default data warehouse model, and it is up to an IT expert hired by a company to create it from A to Z according to local needs. This is the main difference with a data lake.