Course 05Arvanord Courses · Intermediate

Data Integration & Management

Name: Data Integration & Management
Price: 295 USD
Availability: InStock

Keep shared data consistent between the systems that produce and consume it.

Enrollment OpenLearning time: 8–10 hours · self-paced modules

Course fee

$295

One-time payment · lifetime access to the course and every future update.

Completion record
Self-paced, online
Professional technical training

About the course

This course covers the work of keeping data coherent across systems: defining sources and ownership, designing schemas and data contracts, handling quality problems, planning migrations and establishing the routines that keep integrated data dependable.

It is delivered as self-paced modules with worked examples drawn from industrial and business systems, and it complements the Software Integration & Architecture course without overlapping it.

On completion, a Certificate of Completion is issued.

What you will be able to do

Define data sources, ownership and responsibility
Design schemas and data contracts that hold together
Assess and improve data quality where it matters
Plan a migration without losing or duplicating records
Set up the routines that keep shared data reliable

Audience

Data and systems analystsEngineers working with shared dataOperations and reporting staffTechnical project leads

Instructor

Arvanord engineering team — engineers who deliver data integration and management work on client systems.

Prerequisites

Comfort working with spreadsheets, databases or business systems

Assessment

Practical exercise — a schema and quality checklist for a dataset of your choice, plus a short final assessment.

Completion record

Data Integration & Management — Certificate of Completion

Credential ID format: ARV-D-YYYY-NNNN

View a sample credential

Curriculum

Course outline.

Module structure is published openly. Lesson content is produced to Arvanord's engineering documentation standard.

01Sources and ownership

Where data enters and leaves
Ownership and responsibility
Master data and reference lists
Common failure patterns

02Schemas and contracts

Schema design from real questions
Data contracts between systems
Standards and naming
Change and version management

03Quality

Measuring quality
Validation rules
Deduplication and reconciliation
Error handling and repair

04Migration and routines

Planning a migration
Test loads and rollback
Reporting you can defend
Routines and reviews

05Practical exercise & assessment

Design a schema and quality checklist for a chosen dataset
Short final assessment
Certificate issuance

Questions

Common questions.

What does Data Integration & Management cover?

Sources, flows and quality: connecting data from ERP, databases, spreadsheets and document stores, validation rules, traceability, and reporting built on the client's own systems.

Who is this course for?

Professionals responsible for reporting, operations or information quality in engineering and industrial organisations.

What is the final exercise?

A documented data flow for a real case from the participant's organisation — from sources to validated output — reviewed with feedback before certificate issuance.

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