Você se depara com a avaliação de opções de design de esquema de banco de dados. Como você pode fornecer feedback de forma construtiva?

1. In order to design database: I would always prefer to design ERD (Entity Relationship Diagram) before designing the actual database. It will give clarity as well as mistakes can be rectified as databases might have multiple relations and each of them might be linked with each other by key constraints. 2. Index: While creating table, creation of indexes should be in mind which helps in optimization. 3. Constraints: While creating a table/ relation, the constraints must be considered.

Before diving into the feedback, ensure you have a strong grasp of the fundamental concepts of database schema design. Familiarize yourself with the specific project requirements, data types, relationships, indexing strategies, and normalization principles. This foundational knowledge enables you to provide informed and relevant feedback and ensures that your critiques are grounded in established best practices.

When evaluating database schema design choices, I provide constructive feedback by focusing on scalability, efficiency, and data integrity. I acknowledge the positive aspects of the design while suggesting improvements, such as optimizing normalization, indexing, or relationships between tables. I ensure feedback is clear, solution-oriented, and aligned with business goals, highlighting potential future challenges like performance bottlenecks. Collaboration and open discussion are key, as they foster innovative solutions and drive continuous improvement in database development.

One thing that is essential, is to have an understanding of basic database administration principles. Take a look at concepts like packages , stored procedures , automation tools, schemas etc. After conquering the theoretic part , its time to choose your platform In the process of overall evaluation of the database system take into account , the cost of the DBMS, community backup , language compatibility and integration with external systems. How the system interacts with the load of data , and how prone it is to overhead. Ensure the system provides proper security mechanisms ,encryption and direct access control for each user. Also, take your time to examine your overall database strategy against GDPR standards and other rules.

To effectively provide feedback on database design, it's essential to first have a strong understanding of database schemas. A schema is a structured framework that organizes database elements like tables, indexes, and relationships. Familiarity with data normalization principles is also crucial, as these techniques help in reducing redundancy and ensuring data consistency. Additionally, knowledge of the specific database management system (DBMS) in use is important, as each system has its unique features and best practices. With this foundational knowledge, you can offer feedback that considers the design’s context and constraints.

A comprehensive understanding of your schema's , current state , is necessary for evaluating progress and providing useful feedback and recommendations for the next steps. Provide yourself and your team with real world use cases that will test the effectiveness of your dependencies, the accuracy of your attempt to enforce referential integrity and the proper effect of the constraints that are enforced onto your data. Try to be honest to yourself and others , and do not go easy with testing, because it is better to reveal the weaknesses of your newly created database right from the start, than seeing the consequences of your inaccuracies , come to the surface as deeply corrupted data that cannot be used anymore , but seemed good initially.

Take the time to thoroughly review the schema design. Analyze every aspect, including table structures, relationships, constraints, and indexes. Consider how well the design meets the requirements and whether it follows standard design principles. A comprehensive review helps you identify potential issues and areas for improvement, making your feedback more valuable.

Before providing feedback, a comprehensive review of the database schema is essential. Analyze the relationships between tables, including the application of primary and foreign keys, and assess indexing strategies. Identify any normalization issues, such as redundant data that might cause anomalies, or denormalization applied for performance improvements. Evaluate whether the data types are suitable for the data they store and check for any missing or superfluous constraints. Gaining a complete understanding of the schema's current setup enables you to offer well-informed and relevant suggestions.

When evaluating a database schema, prioritize data integrity, performance, and scalability. If a design choice conflicts with these goals, suggest alternatives that achieve the same results while addressing these critical aspects.

The creation of a database is a complex process that must be subjected to multiple checks during each phase of development. During this long process it easy for one to forget the initial plan , or compromise features at the last minute ,an action which end up hindering the completion of the overall project. Follow a development model where clear cycles exist. The cycles must start with a look in the business requirements and the end of which should signal actual development. In the end of each cycle , get feedback from testing, and future users in order to examine the outcome against the initial requirements. It is not recommended to follow an all at once approach cause it will almost certainly lead to loss of time.

When assessing a database schema, it's crucial to focus on the primary objectives, such as maintaining data integrity, optimizing performance, and ensuring scalability for future needs. If you notice that a particular design decision conflicts with these goals, it's important to address it. However, rather than just pointing out the issue, offer alternative solutions that can meet the same requirements while better supporting these key objectives. Your feedback should guide the schema design to better fulfill its intended purpose.

Align your feedback with the project’s goals. Understand the purpose of the database, its performance requirements, scalability needs, and any specific constraints the team is working with. When you provide feedback, frame it in the context of these goals. For example, if the schema could be optimized for faster query performance, highlight how specific changes would help achieve that goal.

É comum que o arquiteto se esqueça do tempo: como o banco de dados vai se comportar ao longo do tempo, qual a relevância dos dados ao longo do tempo. Este é um tópico que precisa sempre ser observado.

It is true that other developers and future users are not inside our minds , knowing what we think and plan and i agree that vagueness, even if not intended is very difficult for the listener to deal with. Whatever we design, it is crucial to remember why. One should be able to provide clear guidance to his fellow developers in order for them to quickly understand their solution, with a focus on key bullet points. Our explanation should be organized in parts, be concise and not be too lengthy. Everyone in the team should understand what is happening in the application , and riddles should not exist. Maintenance should be feasible even by a newcomer. An added tip , is enriching our code with clear comments, written in spoken language.

Vague feedback can lead to confusion or misinterpretation. Instead, be specific in your critiques. Point out exact areas in the schema where you see potential issues, and explain why these could be problematic. For instance, if you notice that a table is not normalized, detail the specific risks this poses (e.g., data redundancy or update anomalies) and suggest precise steps for improvement.

Anticipating database size growth is another factor that must be considered.It can impact performance after a while.For this purpose, pay enough attention to physical structure of database is important.

Let's face it, databases are databases, and code is code, it is not our natural way to think, or act. Software development is a learned skill. Seniority does not make anyone immune to the above and as experienced as a developer or a manager might be, they will certainly not easily understand the purpose behind a last minute , "out of the box" strategy that came as an adaptation to an unexpected weakness. It is absolutely understandable for anyone to have one or more questions about anything in our schema and we must answer to them in a manner that we would accept for ourselves. Everyone should be able to operate and maintain the system with ease , and communication is key to achieve that. If everyone can perform, there is no need to worry.

Constructive feedback is a two-way street. Encourage an open dialogue with the schema designers. Ask questions to understand their reasoning behind certain design choices, and be open to their explanations. This collaborative approach fosters a positive environment where ideas can be exchanged freely, leading to a better overall design.

Instead of only pointing out what’s wrong, offer constructive alternatives. Suggest best practices that could improve the schema design. For instance, if a table lacks proper indexing, recommend specific indexing strategies that align with the query patterns. Providing actionable advice not only helps improve the current design but also educates the team on better approaches for future projects.