Learning stage
Relational thinking
Represent entities, relationships and rules in schemas that remain understandable as data grows.
SVEO Academy
Database Engineering
Develop practical SQL and data-structure skills through schemas, queries, indexing and application-oriented projects.
Learning pathDatabase Engineering
Tools exploredMySQL · SQL · Redis
Project briefs3 connected projects
Current detailsContact SVEO AcademyWho it is for
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Backend and data-focused learners
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Students interested in structured problem solving
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Developers strengthening database fundamentals
Helpful foundations
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Basic programming or spreadsheet logic is helpful
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Attention to detail
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Interest in data and systems
Tools explored
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MySQL
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SQL
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Redis
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Data modelling
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Indexing
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Git
Learning outline
From foundations to connected practice
The final sequence and delivery format may vary. Contact SVEO Academy for current admission and schedule details.
Learning stage
Useful SQL
Query, combine, filter and summarise data for application and reporting needs.
Learning stage
Integrity and performance
Use constraints, transactions and indexes with an understanding of their purpose and cost.
Learning stage
Operational awareness
Explore migrations, caching, backup thinking and how applications depend on the data layer.
Portfolio projects
Project briefs with a clear learning purpose
Projects connect several concepts and give learners something concrete to explain, review and improve.
Business schema
Model a realistic set of records and rules.
Demonstrates
Normalisation, relationships, constraints and naming.
Reporting query set
Answer operational questions from connected data.
Demonstrates
Joins, aggregation, filtering and readable SQL.
Application data layer
Support a small backend workflow with consistent data.
Demonstrates
Schema design, migrations, queries and integrity.
Practice
Activities between projects
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Turn a workflow into an entity relationship model
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Write joins and summary queries
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Compare query behavior before and after an index
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Plan a reversible schema change
Preparation
What learners should prepare
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Basic logical and programming confidence
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A laptop able to run a local database
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Patience for precise, detail-oriented practice
Learning checks
Ways to review progress
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Schema design discussions
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SQL exercises using representative data
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Migration and query review
Learning outcomes
Capabilities to keep developing
The track is a foundation for continued practice. Outcomes describe capabilities learners can work toward, not employment guarantees.
01
Design relational schemas
02
Write useful SQL queries
03
Recognise common performance issues
04
Protect consistency through sound data rules
Questions
About the Database Engineering track
Is this a data science programme?
No. It focuses on the operational databases behind software applications rather than statistical modelling.
Will I work with real datasets?
Practical exercises use representative datasets and application scenarios suited to each concept.
How does this connect to application development?
Backend applications depend on schemas, queries and integrity rules; projects connect database decisions to realistic workflows.
How are datasets handled?
Practice should use representative, non-sensitive data suitable for learning rather than unapproved personal or production information.
Next learning paths
Continue into connected skills
Start a conversation
Interested in Database Engineering?
Contact SVEO Academy for current availability, learning format, admission steps and other programme details.