Data Modeling Training

Data Modeling Training

 Introduction to Data Modeling Training:

Data Modeling Training by Global Online Trainings will help you to understand every key aspect related the Data Modeling. The Data Modeling is a thought or demonstration of a real-world entity which means the data model shows that how the data is stored and organized in the database system. Data Modeling Online Training from India is a map or blueprint for an organization which helps to understand the information flow inside the infrastructure. It is very powerful which gives the foundation of knowledge for information requirements. Erwin Data Modeling training is a set of symbol and texts which helps to understand the complex business problems for developers and analysts so they can recognize the set of data elements and the business rules applied between those data items within the data sets.

Prerequisites of Data Modeling Training:

  • Familiar with this BI Reporting, Database Architecture and ETL Solutions can join in Data Modeling Training.
  • Basic knowledge should be there on Informatica, Oracle PL/SQL, and Database.
  • Oracle Database, Oracle, Linux, Informatica and Oracle Fusion Middleware should also be known for this course.

Data Modeling Training Course Content:

Erwin Data Modeling Training Course Content part 1Erwin Data Modeling Training Course Content part 2

Want to know the best part? The main purpose of Data Modeling Training is to provide information in the visual format or display the visual representation to define how data is customized and summarized in the company infrastructure.


 Overview of Data Modeling Training:

  • The Data presentation will tell that what is the information it has and it helps to communicate between groups which are there in the IT sector with Erwin Data Modeling training from India with training materials and course videos.
  • It also helps to have a common understanding of all the important business concepts by allowing communication between various IT business rules.Data Modeling Training Overview
  • Data Modeling Training provides a very well defined model to handle any type of complexities that come under the concept of data management.
  • It also helps to understand the requirements which are today’s trend and also the future’s unseen issues which would come if the present issues are not solved.
  • It is a piece of the plan for the developers to build the data warehouse.
  • SAP BW on Hana Training will provide you the modeling techniques and environment that will be helpful for managing and maintaining the metadata objects of BW modelers.
  • This concept of Data Modeling Training really helps to improve the communication levels within the organization and it helps you to build both flexible and scalable system.
  • It also helps to analyze the data requirements by communicating with different users and different stakeholders in terms of understanding the need of current business.

The Data Modeling Training ensures that the data is properly structured to get the consistency of the data which can be trusted. This makes it easier to retrieve data, insert the data and gives the better chances to search the data. It increases the quality of data that means they are more reliable so we can trust on that data and make easier to communicate with two or more development team.The data model in Erwin Data Modeling training represents the logical view of data and can be defined as a good entity to introduce the abstraction.


Phases of Data modeling Training:

A Data Modeling Training is simply a diagram that displays a set of tables and the relationship between them. A data model is applicable to any software development environment that involves the creation of database objects to store and manipulate data which includes transactional systems as well as data warehouse systems.When the data model is being designed we progress through three main stages by using Erwin Data Modeling training from India with training materials and course videos which are conceptual data model, logical data model, and physical data model.

Data Modeling Phases

Conceptual Data Model:

A Conceptual data model in Erwin Data Modeling training is just a set of square shapes connected by a line. The square shape represents an entity and the line represents a relationship between the entities. A conceptual data model can be easily drawn on a whiteboard or a piece of paper because it need not be a digital document. This makes it easy and quick to change and can be rapidly updated.

So here are some attributes of the conceptual model:

  • This model comes with extremely abstract functionality.
  • It is easy to understand so whether the user is technical or non-technical it is easy to understand for everyone.
  • Since it is not a digital document it can be easily enhanced and can be frequently implemented.
  • The entities in Data Modeling Training are only qualified for visibility, but there is something else called an attribute they are not visible.
  • The relationships are quite abstract because we know that the two tables are connected but what is the column on which the relationship is established that is not clear yet.
  • Since the conceptual model can be written on a piece of paper or a whiteboard it does not need any software tool to create a conceptual model and that makes it a whole lot easier.
  • Once the conceptual model is finalized then we can elaborate it into a logical data model.
  • Cognos BI Training will explain that Cognos data modeling get the data and transform it in the form of a cube which is easy to analyze and provide high performance.
Logical Data Model:

The Logical data model in Data Modeling Training expands the Conceptual data model by adding more details to it. Those details are Attributes, Key attributes, and non-key attributes. Earlier we used to be a simple square shape now it has a list of attributes. The Key attributes define the uniqueness of that entity such as the date in the time entity, product ID for a product, store ID for store etc. In the logical data model, you draw a line within each entity and mention the attributes below as well as above the line. All the attributes mentioned and displayed above the line form the key attribute and all the other attributes below the line are called non-key attributes. It means they do not help in uniquely identifying the record such as the category in the product entity.

  • Then we have in Data Modeling Training the primary key and foreign key relationships are clearly defined. So the key attributes for each entity can also be used as a primary key and all these primary keys are referred as foreign keys in the other entity table. The foreign key is apparent from the word FK and enclosed within parenthesis.
  • The attribute’s names are user-friendly so these are very easily readable means anyone can understand it and help in readability it has a single character space between each word.
  • These new things we have added to the logical model makes it more detailed than the Conceptual model and at this stage, the logical model is not dependent on any specific database.
  • Data Modeling Training makes it little more difficult to enhance because there are little changes to the conceptual model and this is usually implemented using a software tool such as Erwin or PowerDesigner.
  • These tools will help to create a logical data model which can be shared, continuously updated and can be converted into a physical model by Data Modeling Online Training from India with training materials and course videos.
  • We also provide Data Modeling Online Training from India with training materials and course videos.
  • So this details that have been added and this was not available in the Conceptual model and additional properties of a local model make it slightly more difficult than a conceptual model to update.
  • Once you have finalized the logical model we go to the last step which is a physical data model.

How Data Modeling works?


  • Data modeller can help you work with numerous relational database management systems and helps you completely round-trip. The development, modification and creation of those environments. So you can reverse engineer from a current database, document that information present to stakeholders.
  • You can also start with a simple model and then build that out into a physical model. Now reverse engineering is a very important part of what urban data modeler does and one of the ways we can do that is through our native support or reverse engineer. If you want to learn more about these course Global online trainings is rich in providing Data Modeling certification training with live projects by experts.
  • When we talk about native support that means that when we go into the reverse engineering functionality, you can access any of these databases and all of the functionality is built into the actual product.

Now we can extend this functionality out further by leveraging our import bridges and import bridges is approximately 140 of them and they are included with your urban data modeller license and then you can come in and import from desperate. The systems you can work with your traditional RDBMS is and also expand this out to no SQL environment such as MongoDB, Hadoop hive,  whatever the case may be we can also import models directly in from XML.


Features of Data Modeling Training:
  • It is the ability to work with different models from a data model. In that case we are able to commit to the central repository for all of your models and check out a model and what this is going to do is when you make any changes to this you will save it back into the repository and it is going to create a new version of this model.
  • You can allow other people to check out the model and make changes or you can restrict them by locking. Next feature is workgroup edition, it is the ability to work against models and compare versions. Now in this case look at a newer version and compare that to an older version and this is almost the same functionality that we had seen earlier with complete compare. Are you passionate in learning advance topics of this course, We provide best Erwin Data Modeling training with 100% practical by experts at flexible timings.
  • All of the information that you are looking at in these particular models is going to be based on either logical rules or rules pertinent to the target database.

So you can build a user defined properties with text, with a date, with a list. Whatever the case may be you can add additional labels across the board. This way you are not just going to be limited to the current Meta model. You can extend it very easily by leveraging user-defined properties. Now if you want to see what changes have been generated from the earlier version and you can simply generate a report against that and provide that information to any to any of interests to stake holders. Work condition provides for an automatic versioning so anytime you check out a model you make any changes it becomes a new version.


Functionality of Erwin Data Modeling Training:

Now let’s have a look at Erwin’s reporting functionalities now. When the reports are quick and easy to use. There are a number of pinned reports that we can use. By having the workgroup edition in place you are going to be able to query against all of your models as opposed to looking at a specific model. If you want to mark a version or name a version you can do that would be an indicator that this has been promoted from one of your SDLC catalogs say from dev into QA.Complete compare as most of our customers have declared is really where a lot of actual work was Erwin data modeler comes into play. Because you have a really broad range of information that you can compare against.


What is Data Mart?

You might be wondering, Data warehouse is basically consolidated data from different systems. It is a collection of data from different departments of an enterprise. Data Mart is a very specific smaller version of a data warehouse where we will have a data from specific departments.


Conclusion of Erwin Data Modeling training:

What’s the bottom line? Erwin Data Modeling is a software which provides its services to Data modelling. One of the things you can do at any level within the data modeller at the table level, entity level, the model level, attribute level, column level is leveraged a user defined property and when a user defined property brings to the table is the ability to add additional information specific to the model that you need for documentation. Trust me, there is a huge demand for Erwin Data Modeling training in the market with high packages. Join today in Global online trainings for best Erwin Data Modeling training with live projects. Hurry up!! For more information please do contact our help desk.


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