Data Management builds graduate-level proficiency across both relational and non-relational databases — the storage architecture decisions that shape everything downstream in an analytics project.
What D597 covers
The course builds proficiency using both relational and non-relational databases, covering data storage architecture selection, data types, data structures, normalization/denormalization, and querying databases.
SQL topics including DDL and DML are covered — joins, aggregations, transactions — with non-relational approaches contrasted against relational approaches to build competency adapting data storage architectures to business needs.
The D597 performance assessment
Expect a performance assessment requiring you to design a database schema and write SQL queries (including joins and aggregations) for a given business scenario, justifying relational vs. non-relational choices.
Key topics in D597
- Relational and non-relational databases
- Normalization and denormalization
- SQL: DDL, DML, joins, aggregations, transactions
- Adapting architecture to business needs
Writing tips for D597
Follow the task instructions and rubric line by line
WGU performance assessments for D597 are graded against a fixed rubric — every rubric line has to be visibly addressed, usually with a labeled heading that mirrors the rubric language. Skipping a rubric point because it seems minor is the single most common reason a competent submission comes back "Not Yet Competent" for revision.
Show your actual code, queries, and output, not just a description
WGU evaluators are trained to distinguish genuine technical work from a paraphrased summary. Include your actual code, SQL queries, or model output alongside your written analysis — a rubric checking technical competency wants to see the artifact and the reasoning behind it, not just a narrative description.
Because WGU is self-paced, don't let "no deadline pressure" become no submission
There's no weekly due date forcing progress, which means procrastination costs more at WGU than at a traditional term-based school — a stalled task can quietly eat weeks of a term. Treat your own target date for each D597 assessment as a real deadline.
Stuck on your D597 task?
Our writers know WGU's competency-based format and this course's performance assessment. Get an original, properly cited paper matched to your task instructions.
Why students seek help with D597
Students sometimes write technically correct SQL without justifying why a relational (vs. non-relational) approach fits the specific business scenario — that justification is a core rubric expectation.
How GradeEssays helps with D597
Share your business scenario and rubric, and your writer will build the schema design and SQL queries with clear justification for the architectural approach chosen.
Get Help With D597
Share your task instructions and rubric and we match you with a writer who knows this course and WGU's evaluation standards.
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D597 has no prerequisites.
- Master of Science, Data Analytics - Data Science
- Master of Science, Data Analytics - Data Engineering
- Master of Science, Data Analytics - Decision Process Engineering