We live in the era of big data . In large corporations as well as in small and mium-siz businesses, information has become a tool to increase productivity and improve decision-making. Because of this, many people wonder what is the best way to store their structur data . The truth is that a good way to start answering this question is to analyze the types of databases (or BBDD) that exist in the market. Why?
Data quality is not achiev solely through reliable data. Rather, it is made possible by a set of circumstances, such as proper purification, consistent structuring, and the choice of an appropriate database model . Only when the necessary processes are appli to an appropriate database is it possible to obtain quality information that helps to more accurately evaluate a business. So, what possibilities exist when it comes to managing databases ? Stay with us to find out.
In the following sections we will explain the types of databases that exist and their associat advantages. The intention of this guide is to help you implement big data in your business and ensure high data quality .
Databases according to the structur data model
This review of the different types of databases is bas on a basic variable: the structur data model us to store the information. In this sense, we identify the following types of databases:
Hierarchical
These are those in which the advantages of organization according to importance are taken advantage of. To better real estate photo Eiting how they work, think of the structure that directories follow in a computer storage . When the tree view is select, each folder contains other subfolders that, in turn, may have more folders inside them. In hierarchical databases , the information is locat within higher nodes, on which they depend, or lower nodes, generating a dependency. Essentially, we can define three clear ranges of data:
The root . As in a file system, this is the main node. The one that does not depend on any other. It is consider the origin of the data, since the rest of the branches or nodes emanate from it.
Parent node . This is a branch within the database from which more nodes are deriv. A good example of this type of node might be one call Areas of Operations , which contains a node for each region in which a company operates.
Child node . This is a node that depends on another node. In this case, Spain could be a child node of Zonas de Operaciones . It should not be overlook that a node can be both a parent and a child.
Advantages of hierarchical databases . The benefits offer by this model lie mainly in the integrity of the information. Its structure requires data to be stor in the most appropriate way. Likewise, they make consultation by multiple users much easier.
Network databases
They are very similar to hierarchical databases . However, they have one substantial difference: a child node betting email list have more than one parent node. Thus, instead of a tree-like structure, these databases are more like a network or mesh.
Advantages of network databases . In the past, this method has improv the hierarchical structure, preventing Jinsi ya Kutengeneza Mazingira ya Kazi Yenye Kufurahisha Zaidi duplication of data. Unfortunately, this makes them difficult to modify. Similarly, as data is introduc, they become more and more complex.
Relational databases
Dynamic and versatile. This is how we can define relational databases . With them, a company can enter all kinds of data and create relationships between them without too many complications. Their strong point is that they store information in tables, which allows for quick associations between the different elements includ.
Advantages of relational databases . As mention above, they are easy to manage, do not require extensive knowlge, and provide quick access to data. They are also very consistent, eliminating the possibility of making errors in the entry record.
Logical databases
Logical databases are notable for allowing information to be stor and queri using prefin rules. Because of this, they are very suitable for creating data search engines.
Advantages of logical or ductive databases . They facilitate the consultation of data thanks to the establish logical rules and are very good when it comes to managing highly complex data sets. To function, they use mathematical formulas and algorithms.
Multidimensional databases
Multidimensional databases store information without using any hierarchy. They function as data cubes, where information is relat to several attributes.
Advantages of multidimensional databases . Their main benefit is that they require less space to store information. They are also perfect for collecting large amounts of data, a common practice in the world of big data .
