2020年12月10日

the data modelers are also supposed to work withnyonwhis user oft informion system.

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is oftentimes the first step in programs that are object oriented and are about database design. Theis to identify data or any kind of information that is required by the system so it can store it, maintain it or let others access it when needed.

Business analystsall over the world use a combination of different techniques that include different type ofdiagrams,matrices,model dataand severaltext based descriptions. Each data modeling technique will be helping you analyze and communicate several different information about the data related necessities.

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The process that is used to analyze and define the data requirements that are needed to support any kind ofbusiness processesinside the scope of representing the information systems in any organization. Hence, the process of data modeling consists of several professional data modelers who work in a close relation of the stakeholders of anybusiness. Thats not it, the data modelers are also supposed to work with anyone who is a user of that information system.

Today, we will be discussing thefour major type of data modeling techniques.The data modeling techniques are listed below with further explanations about what they are and how they work.

First of all, we will be discussing Entity Relationship Diagram, check out the detailed description below.

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The first point on your list is Entity Relationship Diagram which is often known as(ERD).

An ERD is responsible for modeling things such asrelationships,entitiesandattributes.

There are two types of ERDs, the simpler ones that we are talking about in this point and the advanced ones that are used in Visual Model Sample Pack.

Here is a very simple ERD diagram that explains everything you need to know at the moment about ERD.

In the diagram above, the customer and the order are theentities, however, the items that are listed inside the entities are theattributes of the entities.

Furthermore, the line in the middle isrepresenting the relationshipbetween the customer and the order.

For those who are using or going to use Entity Relationship Diagram, be aware that you can use it to framework all your data at more than one level of particularity.

The level of particularity usually spans from thephysical databasethat is considered the lowest one, then comes the middle one which is also known aslogical data base, and on the last, we getbusiness domain modelthat is the highest level of database.

Wondering when should you use Entity Relationship Diagram? It is the best choice when you have more than one database table or concept  and you are in need of analyzing the boundaries of all the concepts or the tables.

This becomes simple because by defining an attribute, you will easily figure out the entity it belongs to. Similarly, once you define a relationship, it will be easy to figure out why and how each entity is relating to all the other entities in the model.

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Data Mapping Specification is a data modeling technique that is responsible for showing how the collected information stored in two different databases associate to each other.

Almost all of the times, these databases are related to two information technology systems, at times, these systems are owned by your own organization and some third-party vendor, or two different organizations who are cooperating.

For instance, if you work for a company and the company, including you, creates a data mapping specification that allows the company to get the job content from some of the companys top tier clients who are not willing to manually input all the details in your companys employ hub.

This is where the data mapping specification comes in, every time youconnect two systemstogether through the data exchange or an import, that will be the time when data mapping specification will be your best bet.

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The third on the list isdata matrix.

For those of you who are not aware of what data matrix is; it is a way to provide more elaborated insight of the data model. Data matrix is quite tangible and can easily take several different forms according to the situation you are working under.

Ordinarily, a data matrix is caught in a spreadsheet format. Furthermore, the data matrix comes with a list of attributes, the list of attributes is accompanied with a brief information regarding each of the listed attributes. If you are looking for the type of additional information that accompanies that data matrix, the list is given below.

A data matrix is any business analysts best choice when he or she is in need of analyzing all the attributes in his/her data model. All of this information is most of the times used in shaping up the physical databases. Data developers or data architects will be the ones to utilize this information properly.

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A data flow diagram is the diagram that exemplifies how the information flows through the system, into and of the system as well.

Data flow diagrams are easy to create and can be created using thesimple workflow diagram. Data flow diagram isnever responsiblefor giving you ample information about how data is maintained or created by the system but if you are looking for information that tells youhow data is flowing through the systemor a set of systems that are connected to each other, then you are in the right place as the data flow diagram tells you about how data is stored, processed, and how data is outputted.

Normally, a data flow diagram is your best choice when your data needs to be processed over and over again, data flow diagram helps to clear how and when the process are in need of execution.

Once thats done, every data store can be modeled. You can model the data using techniques like data flow diagram, entity relationship diagram, data matrix. Each of the process utilizes data mapping specification.

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It is highly unlikely that all four data modeling techniques are used by a business analyst to model your data. A seasoned business analyst will analyze all four of the data modeling techniques and then pick out the best one to model your data.

Often times,business analystwill ask the stakeholders a series of questions that will help him clarify the type of data modeling technique he or she should use to model the data at hand.

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