Database Development Processes Development Goals and Phases

Data powers modern online services and mobile applications, making database development an essential undertaking that your firm should not disregard. Today’s businesses gather and depend on vast volumes of data to make strategic choices and enhance their product and service offerings. Without the proper database tools, your company may lose out on key insights and commercial prospects.

An app will not be able to function to its full capacity unless it has a solid and efficient database at its heart. As a result, this is an essential aspect of the app development process, requiring as much care as design and functionality.

Database Development Process Goals

The basic goal of a database development process is to create an automated system that can store and process the information on its own to help a company run more smoothly. To achieve this wide purpose, a database must complete the following tasks:

Create a common vocabulary

A broad community of users must be satisfied while creating a database. A smart database designer develops solutions for data storage optimization by building a shared vocabulary. This has the potential to greatly boost productivity, customer happiness, and other corporate performance measures.

Establish business rules

A database is a collection of business rules that support corporate policy. In an order entry system, for example, an essential rule is that order must come before shipping. To support this rule, a database might include an integrity constraint. When business rules are defined, databases may actively support organizational policy.

Ensure data quality

The quality of data is just as crucial as the quality of the product. Poor data quality leads to poor decision-making about customer communication, sales tracking, and issue resolution, which may result in sales loss, litigation, and decreased customer satisfaction.

Provide easy access

A slow-performing database may be disastrous for a company. As a result, an efficient implementation should be sought. However, none of the preceding objectives, particularly data quality, should be sacrificed.

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Database Development Process Phases

Database Development Process Stages: The database development process is divided into phases, each of which has its own area of competence. Planning, requirement analysis, and implementation are the three key steps. Each procedure is broken down into stages.

Planning

When a client asks that a database project be developed, the planning process starts. It is a collection of tasks or activities that determine the resources needed for database development and the time constraints for certain operations. During the planning phase, four key actions are carried out. These are as follows:

• Examine and accept the database project request.
• Prioritize the database project.
• Distribute resources such as money, people, tools, and so forth.
• Set up a development team to work on the database project.

Requirements Analysis

Requirement analysis is performed in order to comprehend an unsolved issue. It is a critical activity for the development of a database system throughout the database’s development life cycle. Analyst refers to the person in charge of requirement analysis. The requirements and expectations of the users are gathered and examined during the requirement analysis phase. The requirements are gathered to aid in understanding what does not yet exist in the needed form in the system.

Design

The design phase is the most important part of the database development process. The information model created during analysis is utilized in this step to construct a conceptual schema for the database as well as the application. It is a critical stage in the database development process.

The data needs gathered during the requirement analysis phase are analyzed in conceptual schema design, and a conceptual database schema is created, which is more significant in the design step of the database development process.

Implementation and rollout

Following the defining of the logical schema in the previous step, follows implementation, which includes the development of the real database. The selection of accessible database tools, operating environment, and database management systems strongly influences implementation.

Maintenance

After the database is established, the database system’s maintenance phase starts. The process of monitoring and maintaining the database system is known as maintenance. Maintenance operations include things like adding new fields, adjusting the size of an existing file, creating new tables, and so on.