In the information age, good data management has become crucial for the success of organizations. In an increasingly digitized world, where data is generated exponentially, companies are challenged to manage, analyze, and leverage these vast amounts of information effectively.
The ability to extract valuable information from data and use it for strategic decision-making has become a key factor for competitive advantage.
In this context, the ISDI Data Management Executive Program is key to training managers, executives, and professionals who seek to provide their company with a solid data-based strategy.
What is a Data Warehouse?
A Data Warehouse is a unified warehouse in which all the data collected in a company is stored through any collection system and in any of the departments that comprise it. This repository can be physical or virtual, and its objective is to capture data from different sources for its study and use in the company.
A Data Warehouse allows you to organize, understand, and use the data to later be able to make strategic decisions.
How is a Data Warehouse Structured?
The way to structure a Data Warehouse is divided into three significantly simplified systems:
- A basic structure where operating systems and flat files provide raw data that is stored alongside metadata.
- A basic structure with a staging area that allows cleaning of the data before it is entered into the warehouse.
- A basic structure with a test area and data is designed to have separate spaces, for example, so that sales can be found in one section, purchases in another, and inventory in a third.
What is a Database Management System?
A database management system is software comprising a set of programs that, although not visible to the end user, allows the information found in the database to be administered and managed.
A data manager, therefore, becomes a figure that allows more effective access to data, being able to detect duplicates and giving them a greater guarantee of quality.
Data management systems, such as Big Data for business, can control all the operations that need to be performed on a database, from searching to reporting.
What Functions Do Database Managers Fulfill?
Thanks to a database manager, it is possible to define, manipulate, secure, recover, and even restore data. Although the use of database managers can be developed for several functions, the main ones are:
- They help to create more consistent databases with greater efficiency.
- They allow users to store, access, report, and manipulate data.
- They generate the structures by which data is stored in the system.
- They improve and facilitate data searches.
- They ensure the integrity of the information that a company handles. In addition, they adopt measures that provide extra security.
- They allow changes in the databases if necessary.
- They make consultation processes much more straightforward.
- They help control what movements are carried out in the databases.
Types of Database Managers
There are a wide variety of database managers, although some of the best-known are:
- Relational database management systems (SGBDR) allow access and offer information on data that is related to each other. They have a high cost, but it is one of the most adaptable.
- Network database systems (SBDR): They have a large amount of data related to each other, allowing the creation of a network.
- Hierarchical database systems: In this case, the information is organized by creating a hierarchical structure. It is one of the best options for managing large amounts of data.
- In-memory database management system (USGBDM): It is the one that can provide better performance and faster response times.
- NoSQL DBMS: It is the most pertinent in case you use poorly defined databases that will evolve.
- Columnar database management system (SGBDC): It is key to have a database with many similar data elements.
- The cloud-based data management system allows you to forget maintenance since it depends on the cloud manager.
- Object-oriented data system: This type of data manager represents information as an object.
As you have verified, there are multiple types of data managers. Therefore, the figure of a data manager in the business environment who can understand and use the data will be a crucial asset for the organization’s success.
