You're facing conflicting team opinions on database design. How can you facilitate a resolution?

The team shall be database experts rather than frontend developers. If there is a conflict between database experts, study carefully both opinions and accordingly come to a common consensus which is beneficial for the development of the product.

When you say understand issues, you are looking at a narrow perspective and only trying to solve the specific problem that you are facing. In my opinion, a database design needs more than that. You need to understand the overall solution and how the solution could evolve over time. You need to speak to business and discuss all possible use cases to create the most efficient design. I have had similar situations and what really helped me was outlining the database design, outlining the use cases and presenting them to business to get their perspective and then making relevant adjustments till both the engineering team and business team are in consensus.

I agree teams should be open to listen to each other's perspectives irrespective of disagreement. I feel everyone's main aim should be the solution. These are the points that can be helpful in this scenario: 1. Gather info, listen to perspectives, and identify the core issue. 2. Clarify the problem and common goals 3. Facilitate open discussion and clear misunderstanding 4. Brainstorm and evaluate options based on project needs 5. Create and follow an action plan 6. Assess effectiveness and gather feedback

To decide between a relational database and NoSQL, consider your project’s specific needs: Relational Database: Ideal for scenarios where data integrity is critical, such as financial transactions. It uses strict schemas and ensures consistency with support for complex transactions, but may face scalability limitations in high-load systems. NoSQL Database: Offers flexibility for handling unstructured data and high scalability. It's suitable for large volumes of data and fast operations, such as in real-time analytics or social media platforms, but with less immediate consistency.

1. Identifica??o das Op??es: Liste todas as op??es e os cenários que cada uma aborda. 2. Análise dos Requisitos: Análise os requisitos do projeto, como o desempenho e escalabilidade, para garantir que seja avaliada no contexto correto. 3. Prós e Contras: Compare as vantagens e desvantagens de cada op??o. 4. Valida??o Técnica: Realize simula??es ou testes com cada op??o. 5. Consulta a Especialistas: Se necessário, envolva especialistas em banco de dados para obter informa??es sobre as op??es. 6. Decis?o Informada: Tenha a sua decis?o final em uma análise minuciosa dos prós e contras, garantindo que a solu??o escolhida atenda necessidades de curto e longo prazo do projeto, e após isso, documente toda sua decis?o!

Dealing with any decision you have to weigh the pros and cons. You should always reference your functional requirements to make sure you are satisfying them and always plan for the future. Here's some helpful questions to ask depending on your specific project- - How many transactions are we expecting? - What data are we storing/ How much? - How complex are our queries going to be? - What is the cost of training? - How will this impact any of our existing data? - How will migrations be handled?

Ok, after gathering all the options in table as I told previously. 1. Decide the requirements from business perspective as a functional and non functionals with long term perspective. 2. Create a table with pros and cons and rate it with level of importance which is with business needs. 3. Based business needs, decide if we go with relational db or no SQL and it should be adaptable with business datas for long terms. 4. Create a flow diagram or table for all scenarios if any questions raised by team members or anyone, address them step by step pros and cons. 4. Now, you have choice with priorities based, and decide opt 1 or opt 2. 5. If we do like this, which will reduce the possibility of loss and give you a clear vision on the projects.

Once team is aligned with proper requirements, and each team is working adjacently knowing the dependencies it becomes easier to solve issues. Team must first evaluate the type of database to be used based on the following pointers: 1. Type of data (structured for relations or unstructured) 2. Size of data (in case of large data unstructured DB is preferred). 3. operations to be performed (performance) 4. scale of application (single tenant or multiple tenant) 5. Is the architecture based on monolithic or micro-services based. No matter if it is single team decision or multiple team decision if all are aligned through above points the things will becomes simpler without conflicts.

This is always the crux of conflict, finding the middle-ground or having one party bite the bullet and accept the other suggestion. However, we must be careful in how we discover a consensus, remembering the neither party really actually wants to accept the other's solution, hence the conflict! Breaking down the opposing solutions into smaller bites often discovers the similarities and pitfalls of some of the solutions, so be more detailed and thorough and maybe we are actually all arguing about something we all agree on!

Make table with appropriate titles and share with your team members and request them to fill the tables with their Own perspective of this. Now, you make an one table with all these points which you received from your team. Arrange a meeting with them, and discuss each points or ideas or perspective, then classify the pros and cons of each of it. Now, create a new perspective with collaboration of these discussions with them. If we do this, we achieve the below points. 1. Team coordination and team members motivated themselves that they have choice to decide on a project which will give confident take ownership. 2. Chance to get a new and perfect perspective for a projects.

1. Priorize o Projeto: Incentive a equipe a focar no projeto. 2. Buscar Alternativas: Buscar uma op??o que aborde as preocupa??es de todos. 3. Tomada de Decis?o: Utilize métodos como vota??o para medir as decis?es da equipe. 4. Divis?o de Problemas: Se o consenso for difícil, divida a decis?o em etapas menores para facilitar o processo.

For taking consensus for all the teams, it is important that all are aligned to the task knowledge. Multiple time bound Interacting calls or conference meeting must be scheduled instead of a single long session as long sessions often sum up leaving few thoughts, and the gather at least few points from every member. In multiple calls the problems can be divided and then discussed and then summing up all the discussions together.

Simulations can also help identify edge cases, optimize performance, and predict potential issues that may not be apparent in a simplified prototype. By combining prototyping with simulation, the team can gain a more comprehensive understanding of each option, leading to more informed decision-making and a higher likelihood of reaching a consensus that satisfies all stakeholders.

Our approach to resolving database design conflicts involves visualizing the models and creating test schemas. By mapping out the relationships between tables and populating them with test data, we can better understand how the models interact and determine which design is best suited for our use case. We then evaluate these designs by observing their performance in practice. In an agile environment, database designs often evolve throughout the development process. Therefore, we tend to prioritize the most flexible design, anticipating that the requirements will grow in complexity as the project progresses.

Prototyping is to visualisation of the models, that how it works. Team members having assumption of the ideas. so, if we do visualisation of the conflicts with pros and cons of working models. This will trigger people to think from different perspectives. Visualization is one of the best method to resolve the conflicts and colleagues suggestion.

1. Cria??o de Protótipos: Desenvolva modelos simplificados para visualizar as op??es em prática. 2. Análise Prática: Permita que a equipe veja os resultados reais de cada escolha através dos protótipos. 3.Identifica??o de Prós e Contras: Utilize os protótipos para mostrar aspectos n?o previstos e influenciar a tomada de decis?o rumo ao consenso.

Once each of teams are now recognizing the challenges and solutions now it is time to dry run. For this tools can be used or the database prototype can be designed into ER diagrams for relational and perfect Json's for non-relational databases. And review can be done offline listing all the issues ata a common place.

Involving stockholders is vital role in decision making. They do suggest or give points from business perspective. They will trigger questions where we can identify and correct our model or add or remove whenever needs. Stockholders, client, manager who all are having experienced in their own field, this will give to think from another perspective. Hence, involving stockholders is important think in decision making process.

Stackholders have the final output in mind, involving stakeholders not only clears the conflict but also gets better understanding of the final product.

As, the tech decisions have been made now, from all that can be like, Data analysis team, DBA, devOps and devs, even frontend guys if required. So now its better to just have conversations of team leaders for the final decision looking forward to update the project managers with proper knowledge along with efficiency and timeline for the project with each of teams.

Stakeholders can have valuable insights, at the same time you need their support and commitment.By involving them, it increases the buy-in which is crucial for the project.

I think most conflicts around database design comes around optimization of one of the following 1. Write Intensive vs Read Intensive 2. Random seeks vs Bulk Scans 3. Normalization vs Denormalization etc The design choice is going to be based on what you need to optimize for.