A space where the data of a company or organization is stored. The Data Warehouse is, today, a key resource for companies to advance and improve operations and results. We share some key points about this in this article.
The concept of Data Warehouse is closely linked to data science and Big Data . It refers to the place where professionals and companies store data and information that has been previously collected. All of this in a maximum security environment to protect this highly sensitive material from possible cyberattacks that could cause great harm to the owner of these funds.
That said, it is advisable to start by explaining exactly what is meant when referring to this term: What is a data warehouse ? What are its objectives? How to manage the system?
What is Data Warehouse and what does it consist of?
The very translation of the Anglicism reveals the essence of this resource: data storage. The data warehouse consists of the collection, search and documentation of data and information that may be armenia whatsapp data relevant to companies, organizations, entities or other types of institutions. In this regard, it is an area closely linked to data analysis, to BIG Data, and therefore offers magnificent professional opportunities to those who want to advance in this field within their career.
So we could say that the Data Warehouse is composed of:
Professionals specialized in data analytics - data scientist .
Systems to track all types of documents, information and data that are collected, first of all.
Analysis phase of the material that has been collected.
Application of what may be of interest and taking advantage of the company's business intelligence to take advantage of new launches, improvement of products in the portfolio or other types of objectives that may be set.
How does the Data Warehouse work?
The way data storage works is essentially the same as outlined in the previous point. Within a data warehouse , there are hard drives and programs where information is stored. This is structured by subject, by source, by department. It is up to the systems architect to decide which is the best formula for this purpose.
The documentation obtained may be:
Structured.
Semi-structured.
Unstructured.
The architecture of a data warehouse system goes through this segmentation or levels in some way:
Lower level , base server where there is information from very different sources.
Intermediate level , where the data is transformed into more complex structures and relationships begin to emerge between the points collected.
Top level : Contains the tools for more advanced analysis, report queries, and other data details that are of great use to the business.
In total, there are four elements that make up a data warehouse : metadata, which is the data about your data, specifying from the source how to access it, how it is structured, etc.; middleware, access tools to access the information that has been stored; ETL functions, which are the data that is extracted and modified to facilitate the work of analysis and loading of it; central database, which acts as the main warehouse.