Here's how you can address poor logical reasoning skills as a Database Developer.

🧠Enhance logical reasoning by understanding how data relates within systems. 🔍Break down complex problems into smaller, manageable components. 📊Practice identifying patterns and formulating solutions based on premises. 🔄Use flowcharts and diagrams to visualize data relationships and logic. 🛠Engage in exercises that require sequential problem-solving, like coding challenges. 📚Study formal logic principles to strengthen your reasoning foundation. 💬Seek feedback from peers or mentors to refine your logical thinking approach.

It is important to understand the problem definition and analyze it. Try to visualize how it will be solved manually. For example if you hire a person to perform some task, he is smart enough to follow your instructions but remember he will simply follow your instructions without applying his brain. Sometimes you may have to break big complex problems into small simpler tasks. Similar approach can be applied in Database Development. Understand the data, relationship and how they will be used in the system. Start with smaller database.

Don't even worry about it! Forget logical reasoning entirely and just rely on text generators like the one used to write this LinkedIn prompt. This will allow you to spend more time weeping in a dark closet.

Very often, when individuals wrestle with logic and reasoning, they need concepts presented in a different analogy or teaching style. This is one of the common issues in any academic situation. It leans towards the common way most people understand things, but that sometimes leaves out some of the group's most creative and innovative thinkers. Start by encouraging the individual to learn something they enjoy. The goal is to help them learn to love learning. Then, look for a way to translate technical concepts based on what they naturally gravitate towards. You may be surprised to discover what has lead to many great innovators and thinkers, what appeared to be a weakness will actually lead to great strength.

Rome they say was not build in a day, as a data professional who is relatively new to this, i understand that it can be really difficult to break into something new. Take things slow, try not to be hard on yourself, it's okay to get it wrong. logic is basically the study of correct reasoning, thus as a database developer it;s essential to start with the basis like Tables,Row,columns,indexes,contraints, then gradually scale up to more advanced concepts building on your foundational knowlege. Then pratice, learn, pratice till the end. Remember give your self time, have a structured layout and follow it, read articules, watch videos, do research and meet with other like minds. Thank you. see you at the top

It is not the lack of logic, but rather applying generic logic to a specific repository. Well-normalized structure might render majority of your queries inefficient. Therefore, instead of looking for logical weaknesses, start with the processes using your repo and optimize the schema for the usage.

Na minha experiência a pratica aguça a percepção dos motivos das falhas, oque aumenta significativamente o raciocínio. Por exemplo. Meu suco está sem açúcar, logo faltou adição de açúcar durante preparo. Quanto mais se pratica uma logica, melhora a percepção de cada linha escrita e a comunicação de cada etapa, gerando um melhor resultado.