SQL and NoSQL
What must remain true about the business record when people edit, archive, export, or restore it? Choose the mature option the team can operate from the product's relationships, integrity needs, query patterns, and team capability rather than assumed modernity.
What You Will Be Able to Decide
- Explain sql and nosql in product and business terms.
- Apply this decision: Choose the mature option the team can operate from the product's relationships, integrity needs, query patterns, and team capability rather than assumed modernity.
- Recognise this material risk: a database category is selected by fashion and later fights the product's natural data model or creates unfamiliar operational costs.
- Use this review: Use one CRM contact and its related opportunity to test missing values, duplicate records, deletion, and restore.
A founder is deciding how the product should remember information and preserve its meaning over time. This lesson gives you a concrete question to take into a build brief, proposal review, or product decision.
What must remain true about the business record when people edit, archive, export, or restore it? The course example is A lightweight CRM for a two-person sales team; use it to decide what evidence would justify the choice before a builder implements it.
What Does SQL and Nosql Mean for Your Product?
A founder is deciding how the product should remember information and preserve its meaning over time.
Use the illustrative service for this course (A lightweight CRM for a two-person sales team) to make the choice concrete. What must remain true about the business record when people edit, archive, export, or restore it?
Technical term
SQL and NoSQL
SQL databases such as PostgreSQL and MySQL emphasise structured relations and declarative queries; NoSQL databases such as MongoDB use document-shaped records and different modelling and consistency tradeoffs.
How Should a Founder Use SQL and Nosql?
For a lightweight crm for a two-person sales team, ask what would happen if a database category is selected by fashion and later fights the product's natural data model or creates unfamiliar operational costs.
For this decision, the useful standard is that the data model can represent the real business rules without ambiguity or silent corruption.
- Decision: Choose the mature option the team can operate from the product's relationships, integrity needs, query patterns, and team capability rather than assumed modernity.
- Evidence to request: show that the data model can represent the real business rules without ambiguity or silent corruption.
- Owner: name who will respond if a database category is selected by fashion and later fights the product's natural data model or creates unfamiliar operational costs.
- Record the result in the data model and recovery plan.
- Practical review: Use one CRM contact and its related opportunity to test missing values, duplicate records, deletion, and restore.
How Do You Choose an Approach to SQL and Nosql?
What must remain true about the business record when people edit, archive, export, or restore it? Choose the mature option the team can operate from the product's relationships, integrity needs, query patterns, and team capability rather than assumed modernity.
The risk is that a database category is selected by fashion and later fights the product's natural data model or creates unfamiliar operational costs. Compare a simpler option with the proposed one, including who will operate either choice.
- Describe the user or business outcome that must be protected.
- Identify the most credible failure and its consequence.
- Compare the simplest adequate approach with one realistic alternative.
- Set a review point for when the decision may need to change.
What Evidence Should You Accept for SQL and Nosql?
What Warning Signs Should You Look For?
- The proposal does not address this risk: a database category is selected by fashion and later fights the product's natural data model or creates unfamiliar operational costs.
- Nobody can show whether the data model can represent the real business rules without ambiguity or silent corruption.
- The decision has no named owner or review point.
What Should You Ask a Consultant?
- What changes for the user if we choose this approach to sql and nosql?
- How have we reduced or accepted this risk: a database category is selected by fashion and later fights the product's natural data model or creates unfamiliar operational costs.
- Can you demonstrate that the data model can represent the real business rules without ambiguity or silent corruption?
- Who owns the result, and when will we reconsider it?
Key takeaway
Key Takeaway
Choose the mature option the team can operate from the product's relationships, integrity needs, query patterns, and team capability rather than assumed modernity. Ask for evidence against the specific risk: a database category is selected by fashion and later fights the product's natural data model or creates unfamiliar operational costs.