Geodatabase Management with ArcGIS Pro Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends GIS Analysts, GIS Administrators and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-GRS-132

Before you join: Participants should be comfortable using ArcGIS Pro to view maps, inspect attribute tables, edit simple features and run basic geoprocessing tools.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Spatial data programmes fail when datasets are duplicated, schemas drift between projects, editing rules are unclear, and staff cannot determine which version is authoritative. For utilities, land agencies, banks, municipalities, humanitarian teams and asset-intensive businesses, a well-managed geodatabase provides controlled storage, reliable editing, documented data lineage and dependable spatial analysis. This course addresses the operational work required to design, maintain and govern enterprise-ready spatial data systems using ArcGIS Pro.

Participants learn to create and administer file, mobile and enterprise geodatabases; design feature datasets, tables, domains, subtypes and relationship classes; apply topology and attribute rules; load and transform data; manage coordinate systems; and control multiuser editing. The course also covers branch and traditional versioning, replication, archiving, metadata, database performance, backup planning and data quality assurance. Participants work with realistic spatial data scenarios such as utility networks, land parcels, public assets, environmental monitoring sites and service territories.

Teaching combines short technical briefings, instructor demonstrations, guided case work, group design reviews and individual configuration tasks in ArcGIS Pro. Each participant progressively develops a governed geodatabase design from the first week, then applies editing, validation, security and maintenance controls during the second week. They leave with a documented geodatabase implementation pack containing a conceptual model, logical schema, data dictionary, validation rules, editing workflow, metadata record and administration plan.

The course suits GIS professionals who already use ArcGIS Pro and now need responsibility for shared spatial data, data standards or multiuser GIS operations. It is especially relevant where spatial datasets support operational decisions, asset records, regulatory reporting, land administration or field data collection.

What you will be able to do

  • Design geodatabase schemas using feature datasets, domains, subtypes and relationship classes
  • Configure spatial references, coordinate transformations and geographic transformation workflows
  • Build data-quality controls using topology rules, attribute rules and validation procedures
  • Load and transform spatial data using field mapping, append workflows and geoprocessing tools
  • Administer multiuser editing through traditional versioning, branch versioning and conflict management
  • Document spatial datasets using ISO 19115-aligned metadata and data dictionary fields
  • Plan enterprise geodatabase security, backup, recovery and performance monitoring controls
  • Produce a complete geodatabase design and administration pack for an operational GIS service

Benefits of attending

For you

  • Design defensible spatial data structures rather than relying on inherited schemas
  • Diagnose editing and topology failures using repeatable quality-control procedures
  • Manage versioned editing workflows for shared operational datasets
  • Communicate geodatabase requirements clearly with database administrators and IT teams
  • Build a portfolio-ready geodatabase design and administration pack

For your organisation

  • Reduce duplicate datasets and conflicting asset, land or service-area records
  • Improve confidence in mapped operational data used for planning and reporting
  • Standardise editing controls across GIS teams, contractors and field-data processes
  • Strengthen auditability through metadata, archive records and documented data lineage
  • Lower data-maintenance risk with defined backup, recovery and performance procedures

Course modules

20 modules over 10 days

Participants can distinguish geodatabase types and select an architecture for a defined GIS service.

  • Geodatabase roles within operational GIS data management architectures
  • File, mobile and enterprise geodatabases compared against service requirements
  • ArcGIS Pro catalog connections and project-based data organisation
  • Authoritative datasets, working copies and publication-ready data stores
  • Database management systems supporting enterprise geodatabases and spatial data
  • Selecting storage patterns for assets, parcels and environmental observations

Participants can assign, assess and transform coordinate reference systems correctly.

  • Geographic and projected coordinate systems distinguished through measurement requirements
  • Datum transformations selected using source accuracy and geographic extent
  • Inspecting spatial reference properties in ArcGIS Pro catalog views
  • Defining projections only when source coordinates lack valid metadata
  • Projecting feature classes with appropriate geographic transformation parameters
  • Vertical coordinate systems and elevation data management considerations

Participants can translate business requirements into a conceptual spatial data model.

  • Entity-relationship modelling for spatial assets, events and reference features
  • Identifying entities, attributes, identifiers and business ownership rules
  • Cardinality and optionality expressed through relationship model notation
  • Separating observation data from managed asset inventory records
  • Business process mapping used to identify editing and validation needs
  • Conceptual models reviewed against reporting, analysis and field workflows

Participants can create feature datasets and feature classes suited to operational use.

  • Feature datasets created for common spatial reference and topology requirements
  • Geometry types selected for assets, boundaries, events and observations
  • Feature class naming conventions supporting discovery and administration
  • Object identifiers, global identifiers and business keys distinguished
  • M values and Z values configured for route and elevation data
  • Resolution and tolerance settings assessed for positional accuracy requirements

Participants can standardise attribute values and classify feature behaviour using geodatabase controls.

  • Field types selected for identifiers, measurements, dates and coded values
  • Coded value domains created for controlled attribute classification
  • Range domains applied to measured values and permitted thresholds
  • Subtypes configured to represent feature categories with distinct defaults
  • Default values established for consistent feature creation workflows
  • Null values, unknown values and absent values treated distinctly

Participants can model related records and enforce referential integrity within a geodatabase.

  • Relationship classes created for one-to-many and many-to-many records
  • Simple and composite relationships compared through deletion behaviour
  • Primary keys and foreign keys mapped between related tables
  • Attachments configured for inspection images, permits and supporting documents
  • Attributed relationship classes used for inspection and association history
  • Integrity rules documented for parent records and dependent records

Participants can load source data into controlled schemas while preserving documented transformations.

  • Source data profiled for geometry, attributes, duplicates and missing values
  • Field mapping applied during import and feature class conversion
  • Append tool used with schema testing and controlled field matching
  • Data Interoperability principles applied to external format transformation workflows
  • Staging geodatabases used before loading production spatial datasets
  • Load logs recorded with source, date, transformations and exceptions

Participants can configure topology rules and correct spatial relationship errors.

  • Topology rules selected for boundaries, networks and coverage datasets
  • Must Not Overlap rules applied to mutually exclusive polygons
  • Must Not Have Gaps rules applied to complete administrative coverages
  • Point Must Be Covered By Line rules configured
  • Topology validation performed after editing and bulk data loading
  • Error exceptions documented where valid business conditions require them

Participants can use attribute rules to enforce business rules during editing.

  • Calculation rules populate derived fields during feature creation
  • Constraint rules prevent invalid values and prohibited edits
  • Validation rules identify records requiring batch evaluation and correction
  • Arcade expressions written for field logic and conditional checks
  • Rule evaluation order considered when configuring dependent calculations
  • Error layers reviewed to prioritise corrections by business impact

Participants can configure controlled editing workflows for shared spatial datasets.

  • Editing templates configured with default attributes and feature construction tools
  • Snapping settings applied to maintain network connectivity and boundary alignment
  • Editor tracking records creator, editor and modification timestamps automatically
  • Edit operations organised through documented create, update and retire procedures
  • Quality assurance checks scheduled before approval and publication stages
  • Change requests linked to data corrections and schema amendments

Participants can manage traditional versioned workflows, reconciliation and posting decisions.

  • Traditional versioning architecture explained through parent and child versions
  • Versions created for projects, editors and controlled change packages
  • Reconciling edits identifies conflicts against target version changes
  • Conflict detection policies compared using row and column methods
  • Posting approved edits transfers reconciled changes to target versions
  • Compress operations planned after posting and version deletion activities

Participants can prepare branch-versioned data for web-based multiuser editing.

  • Branch versioning requirements assessed for feature service editing workflows
  • Global IDs, editor tracking and archiving enabled before registration
  • Feature services published with appropriate editing capability settings
  • Named versions created for isolated project and review work
  • Reconcile and post workflows applied through service-based version management
  • Web editing implications assessed for field collection and approval processes

Participants can define access controls for enterprise geodatabase users and roles.

  • Database authentication and operating system authentication compared for access control
  • Data owner, editor, viewer and administrator responsibilities defined
  • Database roles assigned according to least-privilege access principles
  • Privileges granted for tables, feature classes and related datasets
  • Connection files managed without exposing credentials in shared projects
  • Access reviews scheduled following staff changes and contractor departures

Participants can document datasets so users can assess suitability, origin and constraints.

  • ISO 19115 metadata elements applied to managed spatial datasets
  • Item descriptions completed in ArcGIS Pro catalog views
  • Data dictionaries document fields, domains, units and permitted values
  • Lineage records capture source systems, transformations and update history
  • Positional accuracy, completeness and currency documented for data users
  • Usage constraints recorded for licensing, privacy and security controls

Participants can identify common geodatabase performance issues and select appropriate remedies.

  • Spatial indexes support geographic queries and map display performance
  • Attribute indexes created for frequent selection and join fields
  • Query filters reduced through selective fields and spatial extent
  • Database statistics updated after substantial loading and editing activity
  • Feature class size, geometry complexity and attachments assessed
  • Performance baselines recorded before tuning data storage configurations

Participants can prepare recoverable geodatabase maintenance procedures and retention controls.

  • Recovery point objectives and recovery time objectives defined
  • Database backups scheduled according to change frequency and criticality
  • Restore procedures tested using documented recovery scenarios
  • Archiving preserves historical records of edits and attribute changes
  • Retention schedules distinguish operational copies from long-term records
  • Maintenance calendars assign ownership for backups, checks and restores

Participants can establish governance procedures for schema changes, quality ownership and release control.

  • Data stewardship roles assigned for ownership, approval and maintenance
  • Schema change requests assessed for dependencies and migration impacts
  • Release management controls separate development, test and production data
  • Data quality indicators defined for completeness, validity and timeliness
  • Issue registers track defects, corrective actions and accountable owners
  • Governance meetings review standards compliance and priority improvements

Participants can prepare governed geodatabase content for controlled sharing through GIS services.

  • Feature layers published from approved enterprise geodatabase datasets
  • Service definitions reviewed for capabilities, scale ranges and permissions
  • Read-only views created for reporting and public information products
  • Hosted layers and referenced layers compared for governance implications
  • Web maps configured to present authoritative layers and controlled symbology
  • Distribution schedules defined for extracts, services and partner datasets

Participants can diagnose common geodatabase operational issues using structured checks and logs.

  • Connection failures investigated through credentials, permissions and network checks
  • Schema locks identified before maintenance, loading and structural changes
  • Invalid geometry detected using Check Geometry and Repair Geometry
  • Orphaned relationships investigated through key fields and integrity checks
  • Version conflicts reviewed against editing responsibilities and approval rules
  • Administration logs compiled for incidents, actions and follow-up decisions

Participants can build, review and present a complete governed geodatabase design for an operational GIS scenario.

  • Requirements translated into a documented conceptual and logical data model
  • Feature classes, domains, subtypes and relationships configured in ArcGIS Pro
  • Topology and attribute rules applied to defined data-quality risks
  • Editing, versioning and access workflows specified for user roles
  • Metadata, backup procedures and governance controls assembled into documentation
  • Peer review tests schema fitness against operational reporting requirements
  • Implementation pack presented with decisions, risks and phased actions

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Geodatabase conceptual and logical data model
  2. Spatial data dictionary template
  3. Topology and attribute-rule configuration checklist
  4. Multiuser editing and versioning workflow
  5. Geodatabase backup and recovery plan
  6. Geodatabase governance and change-control plan

Who should attend

  • GIS Analysts — need to design and maintain shared authoritative spatial datasets
  • GIS Administrators — manage geodatabases, user access, editing and maintenance routines
  • Spatial Data Managers — establish data standards, governance controls and quality assurance
  • Database Administrators — support enterprise geodatabases and spatial database performance
  • Asset Information Managers — connect utility, property and infrastructure records to mapped assets
  • Remote Sensing and Mapping Specialists — prepare validated spatial data for analysis and publication

Skills and tools covered

Geodatabase schema designSpatial data qualityMultiuser editing managementEnterprise GIS administrationMetadata documentationDatabase performance tuning

Tools and standards

ArcGIS Pro, ArcGIS Enterprise, ISO 19115, Arcade

How the course runs

Training methodology

The course uses short instructor briefings followed by ArcGIS Pro demonstrations and structured case work. Participants configure geodatabases, inspect data-quality failures, resolve editing conflicts and review schema decisions in small groups. Cases draw on parcels, public assets, utility infrastructure, environmental observations and service territories. Trainers use simulations for multiuser editing, backup incidents and change-control decisions. Each participant records design choices and operating procedures in an implementation pack, with feedback checkpoints throughout both weeks.

Requirements and prerequisites

Participants should be comfortable using ArcGIS Pro to view maps, inspect attribute tables, edit simple features and run basic geoprocessing tools. Experience working with vector datasets such as points, lines, polygons and tabular attributes is assumed. Familiarity with coordinate reference systems and common GIS file formats is helpful. No prior database administration, SQL programming, ArcGIS Enterprise deployment or software development experience is required. Participants do not need to bring their own spatial datasets, although a non-sensitive workplace example can inform application planning.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should be able to use ArcGIS Pro for routine map, attribute-table and basic editing tasks. Prior database administration and SQL experience are not required, although familiarity with spatial data concepts is expected.

A laptop with ArcGIS Pro access is recommended for classroom or live-online delivery, subject to the course joining instructions. Training datasets are provided; you may also bring a non-sensitive workplace data example for discussion.

It is intended for GIS analysts, GIS administrators, spatial data managers, asset information staff and database professionals supporting GIS. It is most useful for people responsible for shared, maintained or enterprise spatial datasets.

General ArcGIS Pro courses focus primarily on map production, analysis and visualization. This course concentrates on the data system behind those outputs: schema design, editing controls, quality rules, versioning, metadata, security and administration.

Participants can use the methods to assess an existing geodatabase, standardise fields and coded values, introduce validation rules and document editing procedures. The implementation pack provides a structure for proposing improvements to managers, IT teams and data owners.

Training runs from 08:30 to 16:30 each day, providing about 6.5 contact hours daily. The first week establishes data modelling, schema and validation foundations; the second week covers multiuser administration, governance, diagnostics and the final capstone.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.