You're facing conflicting opinions on database design in your team. How do you ensure a cohesive approach?
Facing differing views on database design? Dive in and share your strategies for aligning your team's vision.
You're facing conflicting opinions on database design in your team. How do you ensure a cohesive approach?
Facing differing views on database design? Dive in and share your strategies for aligning your team's vision.
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You ask the people who hold opinions to write a few SQL statements on the model they suggest. If they can't do joins between a few tables, you fire them for speaking about stuff they know nothing about. You then take the people who suggest using an ORM out behind the building, cover them on tar and roll them in feathers for having wasted their CS education. Whoever remains standing after the purge will likely not have any issues agreeing on something as simple as database design.
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To ensure a cohesive approach amid conflicting opinions on database design, focus on aligning the team around core goals like scalability, performance, and data integrity. Facilitate open discussions to evaluate the pros and cons of each viewpoint, grounded in these shared objectives. Encourage collaboration by involving team members in key decision-making and documenting agreed-upon standards to maintain consistency. When needed, consult best practices or bring in expert insights to clarify uncertainties, helping the team reach a well-informed, unified design strategy.
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One main thing which I would focus is to bring my team to the same page on the importance of the results rather than individual's personal opinions. Once it's done, can see the type or model of our business and then act accordingly; means focus on the requirements, functions, and processes (that's the time that we need to each others ideas). It should be added that it's ideal and recommended to make a prototype of the database and see if it works well and is aligned with the business needs and work as per the need also satisfy the team, then can go from there.
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Start with a clear definition of the problem the business is trying to solve first. Then look at time-cost-quality constraints and an outline spec starts to emerge. Are there organisational defaults to bring in such as cloud by default, OO or SSADM and security standards to guide the framework? Then look at the use-case, interconnectivity, interfaces, user interaction requirements, reports and the Lean concept of customer voice. You can mix a waterfall and agile approach into this work if the time-cost-quality pressures of business planning v tech team preferences are there. Make sure that the Project Manager and Product Manager are side by side - which safeguards the incremental progress alongside continuous business justification.
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- Begin by clarifying the project's objectives and requirements. What problem is the database solving? Who are the end users? Clear goals help guide design decisions. - Use meetings, brainstorming sessions, or collaborative tools to facilitate these discussions. - Encourage team members to work in pairs or conduct peer reviews to build understanding and consensus on design choices. - Develop prototypes or proof of concepts to evaluate different design approaches in practice. This can help in visualizing the implications of each approach. - Establish a clear process for making final design decisions. This could involve a decision-making framework that factors in input from all team members.
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