The design document is usually worth more than the working database
Database assignments look like implementation tasks and are mostly modeling tasks. Getting the entities, relationships and normal forms right is the assessed work, and it happens before any SQL is written.
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Most bad databases are bad models that were implemented efficiently
An ER model is a claim about the domain: these are the things that exist, these are the relationships between them, and these are the constraints. Getting cardinality wrong, or missing a relationship, produces a schema that cannot answer the questions the assignment later asks. No amount of good SQL recovers from it.
Normalization is the part students most often apply mechanically. Knowing the definition of third normal form is not the same as being able to look at a table and see the transitive dependency causing an update anomaly. Working through actual anomalies is what makes the forms make sense.
SQL then rewards practice more than explanation. Joins, grouping and subqueries are where most difficulty sits, and the common error is conceptual: not being clear on what a join produces before filtering and grouping are applied to it.
- ER models with correct cardinality and participation
- Normalization understood through the anomalies it prevents
- Joins understood as producing a result set, then filtered
- Design documents written to the expected format
What we work on
Your own assignment and your own schema
- ER and relational modeling, including many-to-many resolution
- Normalization to third normal form and beyond, with reasons
- SQL: joins, aggregation, subqueries and window functions
- Indexing and why a query is slow
- Writing the design document your rubric asks for
We explain. You build
- We do not write SQL or schemas you will submit.
- We do not complete your assignments or supply solutions.
- We do not sit or assist during any timed assessment.
- We do not produce design documents for you to hand in.
- We work through your own model and queries with you.
Similarity checking applies to schemas and queries as well as to code. It also matters that you can explain your own design, because viva-style questions on database coursework are common. Read the full policy.
Frequently Asked Questions
With a junction table carrying foreign keys to both sides, plus any attributes belonging to the relationship itself rather than to either entity. Students often miss that last part: an enrollment date belongs on the junction table, not on the student or the course.
For coursework, usually yes unless the assignment says otherwise. In practice denormalization is a deliberate performance trade-off made after the normalized design exists. Saying that in a design document is usually rewarded.
Almost always a join condition problem. Work out what the join produces before the WHERE clause filters it: a missing or wrong join condition produces a partial cross product, which multiplies rows. Running the join alone first shows it immediately.
On columns used frequently in WHERE clauses and joins, particularly foreign keys. Indexes speed reads and slow writes, so the judgment is about access patterns. Coursework usually wants that trade-off discussed rather than indexes added everywhere.
Typically the requirements, the ER model, the relational schema with keys and constraints, the normalization reasoning, and sample queries showing the design answers the required questions. The normalization reasoning is the part most often thin.
Send the brief and your model
We will check the cardinality, work through the normalization with you, and tell you whether the design can answer the queries the assignment needs.
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