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Data is considered the most essential factor for business growth. Business today relies solely on data to make decisions. However, to know the exact value of a company, the data must be optimized so that it presents a clear insight into the business. The flow of accurate and consistent data is of great importance for business users to make quick and well-informed decisions.
Sometimes with the growing data and vast amount of information, many companies turn into using data modeling tools, and software that design to translate data into more easily read and format and serve a user a clear interface. This tool is basically developed to eliminate human error and speed up the process of building a logical data model, a physical data model, creating DDL. The sharing option facilitates the user to shares the model with other stakeholders.
What is data modeling?
Data modeling is a technique of applying mythology and algorithms to convert data into a useful form. The process converts complex software design into a simple easy to understand diagram with data flows.
However, data is stored in a database need to convert in the suitable format by data modeling tools in order to allow the user a diagrammatically understand of data.
Significance of data modeling
High data quality:
Data modeling helps to build a high data quality because it eliminates all the data which not use and allows developers to understand the data in a simpler manner. It has been observed that 70 percent of the developer’s efforts fail due to the initial implementation of coding without understanding the data. A data model helps define the problem, enabling you to choose the best approach from various methods.
There is no doubt that a well-built database typically runs faster and even quicker than expected. To achieve optimal performance, the concepts in a data model must be crisp and consistent. Appropriate rules must then be used to transform the model into database design.
Less data errors:
Data errors are an important issue in the project lifecycle. It is one thing to have an application crash, a restart is required. Corrupting data in large databases is another matter. A data model not only improves the conceptual quality of an application, but it also lets you take advantage of database features that improve data quality.
Data modeling helps define a clear scope in a business project. It helps developers decide what is included in the software and what can be omitted. The model highlights selected words so that they can be carried forward into software artifacts. The resulting software becomes easy to maintain and extend.
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What are the benefits of Data Modeling
There are several advantages to using a data model for your complex data set few are mentioned below:
A typical data model looks like:
- Understand your business by demanding graphic representations of complex concepts.
- Use free data modeling tools to organize big data so that information is easy to access.
- Integrate data from different systems that may not communicate well with each other.
Related Content: Best Practices for Building Qlik Sense / Qlik View Data Model
Best data modeling tools
Erwin Data Modeler
It is a powerful data modeler that supports multiple databases using ODBC / ANSI SQL. It can operate in the cloud and in a data warehouse with structured and unstructured data. It comes with several versions including standard versions. The only thing depends on your needs and the size of your data.
It supports multiple databases using ODBC / ANSI SQL. It supports single and multi-platform environments, with native integration for large data platforms such as – MongoBD and Hadoop Hive. This tool works on many database platforms and is used effectively by data architects, data modelers, database architects, and business analysts.
Lucid Chart is a web-based platform that allows users to collaborate in drawing, modifying and sharing charts and diagrams. One main advantage of this tool is that you can do manual work for hours. The database schema design tool works with platforms such as MySQL, Oracle, SQL Server and PostgreSQL. The main reason for Lucid Chart is better than most because it runs on browsers that support HTML5 and does not require any third-party software.
SQL Database Modeler
SQL Database Modeler allows users to create, browse, and edit logical, relational, physical, multidimensional, and data type models. It is a free graphical tool that increases productivity and simplifies data modeling tasks. Data Modeler provides forward and backward engineering capabilities and supports collaborative development through integrated source code control.
PowerDesigner is a web-based reporting, link-and-sync technology, impact analysis tool. PowerDesigner offers a fully integrated model and various modeling techniques. It can run either as a native application under Microsoft Windows or through a plugin in an Eclipse environment.
Sparx Enterprise Architect
Sparks Enterprise Architect works with large databases and finds logics for data modeling tools for many tasks. The platform supports the design and construction of software systems, modeling business processes, and modeling industry-based domains.
In this growing data world and information, it is becoming difficult for humans to manage. Data modeling has therefore been adapted by many companies to make their tasks easier. Whether you want to design a website with big data, software or mobile application data modeling, somehow helping to reduce your efforts. By using one of these data-modeling tools, you will get a better overview of what you want to do in your project.
Abhishek is working as a Web Graphics Designer at EzDataMunch. He is involved in Maintaining and enhancing websites by adding and improving the design and interactive features, optimizing the web architectures for navigability & accessibility and ensuring the website and databases are being backed up. Also involved in marketing activities for brand promotion.