GPLG · INDUSTRIAL DATA ENGINEERING
Database Solutions
Reliable industrial data storage, modelling and integration for production systems, applications and analytics.
GPLG designs database solutions around the operational reality of industrial environments. We connect machines, SCADA systems, applications and analytical tools to structured data platforms that preserve context, history and accessibility without blurring the boundary between production control and information systems.
FROM MACHINE DATA TO USEFUL INFORMATION
Store industrial data with the context required to use it later
Production systems generate values, events, alarms, recipes, counters, quality results and application records. A useful database architecture does more than store these values: it defines where they come from, what they mean and how they relate to the process.
GPLG structures the data layer around the application, expected volume, retention requirements, access patterns and integration points so the system remains understandable and maintainable as production evolves.
Industrial data only becomes valuable when it remains accurate, contextualised and accessible.
INDUSTRIAL DATA CAPABILITIES
A data layer that supports operations, engineering and software
Production history
Store process values, counters, states and selected production information over time.
Events & alarms
Preserve timestamped operational events and alarm records for analysis and traceability.
Application data
Support custom software, workflows, users, recipes and engineering applications.
Analytics access
Make approved data available to dashboards, reports, AI and analytical applications.
INDUSTRIAL DATA PLATFORM
Connect production information to a structured data foundation
Databases provide the persistent layer between real-time industrial systems and the applications that need history, traceability, reporting and analysis.
DATA ARCHITECTURE
Separate real-time control from long-term information storage
PLCs and machine controllers remain responsible for deterministic control. The data platform receives selected information through appropriate industrial and software interfaces and makes it available to higher-level systems.
INDUSTRIAL DATA FLOW
DATABASE DESIGN
Choose the storage model around the information and workload
Relational data
Structured entities, relationships, transactions and application records where consistency is important.
Time-series data
Timestamped measurements and process values where historical behaviour is the primary dimension.
Hybrid architectures
Combine different storage patterns when one database model does not fit every information type.
Retention strategy
Define how long information is preserved and how historical volume is managed over time.
DATA INFRASTRUCTURE
Industrial information available to the systems that need it
Servers, databases and application services are engineered as part of the complete information architecture rather than treated as isolated components.
DATA MODELLING
Preserve meaning, not only values
A good schema expresses the relationship between equipment, production context and stored values. Naming, identifiers, timestamps, units, status and product or batch information can be as important as the numerical value itself.
GPLG designs schemas so future applications can understand the information without depending on undocumented assumptions hidden inside individual programs.
PERFORMANCE
Design queries and storage around the way the data will be used
Industrial databases can grow rapidly. Indexing, query design, aggregation, retention and application behaviour therefore need to be considered from the beginning.
The objective is predictable access to the information users and applications require without creating unnecessary load on production-connected systems.
INTEGRATION
Connect the database to industrial and software systems
SCADA
Store historical process information, events and selected operational records.
Custom software
Provide structured persistence for C#, Python and web-based industrial applications.
APIs
Expose approved information to other systems through defined software interfaces.
Analytics & AI
Supply validated historical information for reporting, analysis and model development.
RELIABILITY & RECOVERY
Protect the information layer from avoidable data loss
Backup, recovery and availability requirements depend on the role of the database and the acceptable operational impact of an outage.
GPLG can define backup routines, restore procedures, replication or redundancy strategies appropriate to the project, while keeping the solution proportionate to the actual production requirement.
EXISTING SYSTEMS
Modernise data architectures without discarding useful production history
Legacy databases and applications often contain years of operational information. Modernisation begins by understanding the existing schema, interfaces and data quality before migration or restructuring is considered.
Where appropriate, GPLG can introduce new interfaces or a new data layer gradually while preserving access to existing information.
FROM REQUIREMENT TO DATA PLATFORM
A structured database engineering process
Requirements
Define sources, consumers, retention, volume, availability and access requirements.
Data architecture
Select storage models, interfaces and system boundaries around the application.
Schema design
Structure entities, relationships, timestamps, naming and production context.
Integration
Connect industrial sources, applications, APIs and higher-level systems.
Validation
Test data quality, query behaviour, historical continuity and recovery procedures.
Support & evolution
Adapt the platform as production volume, equipment and application needs change.
CONNECTED ENGINEERING
Database Solutions within the wider GPLG environment
SCADA Systems
Operational supervision, alarms, trends and historical process information.
Explore →Industrial IoT
Connected data architectures from industrial equipment to higher-level systems.
Explore →OPC UA & MQTT
Industrial communication technologies for structured information exchange.
Explore →Python Development
Industrial software, data processing and analytical applications.
Explore →DATABASE SOLUTIONS
Need a reliable industrial data foundation?
GPLG can assess your data sources, applications and historical requirements to design a maintainable database architecture around the production environment.