Write 400-600 words on the following in APA format with references, MUST BE 100% ORIGINAL WORK As you embark on the database design process, you want to make sure that all of the existing features and new requirements are built into the new database. What are the tasks and mechanisms that you can use that allow you to examine the existing system and start to transform it into the new database, and how are these mechanisms used? When creating the new database it is critical to complete each step in the database design as completely as possible. To help with this and to make sure you do not move too fast, too soon, describe the differences between conceptual, logical and physical data modeling. Finally, you are in a somewhat unique position in that you are migrating from Access to an RDBMS of your choice. At what step is a DBMS chosen, and what is the process? Your post should include the following details:

Database design is a crucial process that involves transforming the existing system into a new database while incorporating existing features and addressing new requirements. To successfully accomplish this, several tasks and mechanisms can be utilized to examine the existing system and implement the necessary changes.

One important task in the database design process is data analysis. This involves analyzing the existing data to understand its structure, relationships, and constraints. Data analysis helps identify the entities, attributes, and relationships that need to be represented in the new database. This task can be performed through techniques such as data profiling, data mining, and data visualization.

Once data analysis is complete, the next task is conceptual data modeling. Conceptual data modeling involves creating an abstract, high-level representation of the database structure, independent of any specific technology or implementation. This step focuses on capturing the essential entities, relationships, and constraints in the system. Conceptual data models are typically represented using entity-relationship diagrams (ERDs) or UML class diagrams.

After the conceptual data model is created, the next task is logical data modeling. Logical data modeling involves translating the conceptual model into a technology-independent representation that can be implemented in various database management systems (DBMS). This step involves refining the entities, attributes, and relationships identified in the conceptual model and transforming them into tables, columns, and relationships that can be implemented in a relational database.

Logical data modeling also includes defining data integrity constraints, such as primary keys, foreign keys, and referential integrity rules. These constraints ensure the accuracy, consistency, and integrity of the data in the database. The resulting logical data model is typically represented using entity-relationship diagrams (ERDs) or relational diagrams.

The final task in the database design process is physical data modeling. Physical data modeling involves translating the logical data model into a specific technology-dependent implementation. This step includes specifying the database schema, defining data types, indexing strategies, and optimizing the database for performance. The physical data model represents the actual database structure that will be implemented in the chosen DBMS.

Moving on to the selection of a DBMS, the choice is typically made during the physical data modeling phase. Once the physical data model is complete, it is necessary to select a DBMS that can support the desired functionalities and performance requirements of the new database. The selection process involves evaluating different DBMS options based on criteria such as compatibility, scalability, reliability, security, and cost. Once a DBMS is chosen, the implementation phase can begin.

In conclusion, the process of transforming an existing system into a new database involves tasks such as data analysis, conceptual data modeling, logical data modeling, and physical data modeling. These tasks ensure that all existing features and new requirements are integrated into the new database. The choice of a DBMS occurs during the physical data modeling phase, and it involves evaluating different options based on specific criteria. By following these tasks and mechanisms, a successful database design can be achieved.

Need your ASSIGNMENT done? Use our paper writing service to score better and meet your deadline.


Click Here to Make an Order Click Here to Hire a Writer