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ISO Standards Course in Database Interoperability

Online 300-hour course in ISO standards for database interoperability. 6 modules covering ISO/IEC 9075 (SQL), ISO/IEC 11179 (metadata registries) and PostgreSQL. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Understand the levels of data interoperability.

02

Write portable queries conforming to standardised SQL.

03

Manage metadata in accordance with ISO/IEC 11179.

04

Assess data quality using standardised metrics.

05

Select exchange formats suited to each integration.

06

Apply security and governance controls to shared data.

07

Develop an interoperable integration project between databases.

Profile

Who it's for

  • Data architect looking to specialise in ISO Standards for database interoperability.
  • Data integration engineer looking to specialise in ISO Standards for database interoperability.
  • Database administrator looking to specialise in ISO Standards for database interoperability.
  • Data governance manager looking to specialise in ISO Standards for database interoperability.
  • Data quality analyst looking to specialise in ISO Standards for database interoperability.
  • ETL engineer looking to specialise in ISO Standards for database interoperability.
  • Engineering or science graduates seeking to enter information technology.
Standards & tools

What you'll work with

  • ISO/IEC 9075 (SQL)
  • ISO/IEC 11179 (Metadata Records)
  • ISO 8000 (data quality)
  • ISO/IEC 25012 (data quality model)
  • ISO 8601 (dates and times)
  • ISO/IEC 21778 (JSON)
  • ISO/IEC 27001 (Information Security)
Syllabus

6 modules · 300 h

  1. 1.1Levels of interoperability: technical, syntactic and semantic
  2. 1.2LCIM conceptual interoperability model
  3. 1.3Relational and non-relational databases
  4. 1.4Schemas, metadata and data dictionaries
  5. 1.5ETL and ELT integration
  6. 1.6Federated architectures and data mesh
  7. 1.7European Interoperability Framework (EIF)
  8. 1.8National Interoperability Scheme (ENI)
  9. 1.9NATO data exchange standards
  10. 1.10Workshop: interoperability diagnosis of two schemas
  1. 2.1ISO/IEC 9075: structure and parts of the SQL standard
  2. 2.2SQL/Foundation and data types
  3. 2.3Proprietary extensions versus the standard
  4. 2.4SQL/MED and external data
  5. 2.5SQL/JSON in ISO/IEC 9075:2016
  6. 2.6SQL/PGQ and graph queries (2023)
  7. 2.7ISO/IEC 39075: GQL language
  8. 2.8Portability across database management systems
  9. 2.9Connectivity: ODBC (ISO/IEC 9075-3) and JDBC
  10. 2.10Lab: migrating queries between PostgreSQL and Oracle
  1. 3.1ISO/IEC 11179: metadata registries
  2. 3.2Data elements and value domains
  3. 3.3ISO 8000: master data quality
  4. 3.4ISO/IEC 25012: data quality model
  5. 3.5ISO/IEC 25024: measurement of data quality
  6. 3.6Data lineage and provenance
  7. 3.7Data catalogues and DCAT
  8. 3.8Master data management (MDM)
  9. 3.9Data governance and DAMA-DMBOK
  10. 3.10Practice: metadata registry in accordance with ISO/IEC 11179
  1. 4.1XML and XML Schema
  2. 4.2JSON and JSON Schema
  3. 4.3ISO 8601 for dates and times
  4. 4.4ISO 3166, 4217 and 639 as reference codes
  5. 4.5ISO 19115 for geographic metadata
  6. 4.6OGC standards and geospatial services
  7. 4.7HL7 FHIR as a sector-specific example
  8. 4.8REST APIs and OpenAPI
  9. 4.9Messaging and events: Kafka and AMQP
  10. 4.10Lab: validating a JSON exchange against a schema
  1. 5.1ISO/IEC 27001 and controls over data
  2. 5.2ISO/IEC 27701 and privacy
  3. 5.3ISO/IEC 38505: data governance
  4. 5.4Access control and security labelling
  5. 5.5Data encryption in transit and at rest
  6. 5.6Auditing and access logging
  7. 5.7Personal data protection in integrations
  8. 5.8Data sovereignty and Gaia-X
  9. 5.9Interoperability in classified environments
  10. 5.10Case study: governance plan for integrating two systems
  1. 6.1Analysis of the source databases
  2. 6.2Definition of the canonical model
  3. 6.3Metadata registry and dictionary
  4. 6.4Design of integration processes
  5. 6.5Implementation of standard queries
  6. 6.6Data quality testing
  7. 6.7Security and privacy controls
  8. 6.8Documentation of standards compliance
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine the programme with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is PostgreSQL, Talend, Apache NiFi, DBeaver, Python (pandas), in free, academic or evaluation versions. Practical exercises are based on real data migration procedures between heterogeneous systems, data profiling and cleansing, and the design of metadata dictionaries. Assessment is continuous, module by module, plus a final integrative project.

Accredited laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis (final project):safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Analysis of the source databases

Understand the levels of data interoperability.

Definition of the canonical model

Write portable queries conforming to standardised SQL.

Metadata registry and dictionary

Manage metadata in accordance with ISO/IEC 11179.

Design of integration processes

Assess data quality using standardised metrics.

Implementation of standard queries

Select exchange formats suited to each integration.

Career opportunities

Where this takes you

Data architectData integration engineerDatabase administratorData governance managerData quality analystETL engineer
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to follow technical standards texts.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme is 300 total hours spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with full-time work.

You work with PostgreSQL, Talend, Apache NiFi, DBeaver, Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM Institute own diploma upon passing continuous assessment and the final integrative project. It is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the advanced programme. Check the recognition policy when you enrol.

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