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Version: 2.0-beta.1

Data Integration

In modern manufacturing, data is scattered across dozens of systems—PLCs, SCADA, MES, ERP, sensors, and databases—each speaking a different language and operating in isolation. Traditional point-to-point integrations create a web of complexity that becomes exponentially harder to manage as your factory grows.

MaestroHub's Data Integration breaks this cycle by providing an intelligent data layer that eliminates the majority of integration effort. Instead of connecting every system to every other system, you connect each system once to MaestroHub's Unified Namespace, and let the platform handle the rest.

Why Data Integration Matters in Manufacturing​

Studies show that industrial data professionals spend a significant portion of their time on non-value-added tasks like:

  • Searching for data across disconnected systems
  • Standardizing data from different sources
  • Cleaning and preparing data for analysis
  • Building and maintaining point-to-point integrations

MaestroHub eliminates these bottlenecks by automating data collection, transformation, and orchestration—allowing your team to focus on value-added analytics and decision-making.

The Three Pillars of Data Integration​

MaestroHub's data integration capabilities are organized into three core areas:

Connect - Universal Data Collection​

Connect to any industrial or enterprise system without writing code. MaestroHub provides native connectors for:

  • Industrial Protocols: OPC UA, Modbus, MQTT Sparkplug B, and more
  • Enterprise Systems: SQL databases (PostgreSQL, MSSQL, Oracle), REST APIs, web services
  • File Sources: CSV, Excel, JSON, XML for batch data imports
  • Cloud Platforms: AWS, Azure, Google Cloud integrations

Key Benefit: Reduce integration time from weeks to hours with pre-built connectors and drag-and-drop configuration.

Explore Connect →

Compose - Data Modeling & Contextualization​

Raw data is meaningless without context. Compose allows you to define the semantic structure of your factory:

  • Data Models: Create reusable templates that represent machines, lines, products, and processes
  • ISA-95 Hierarchy: Automatically map your data to the ISA-95 standard (Enterprise → Site → Area → Line → Cell → Equipment)
  • Digital Twin Foundation: Build a living digital representation of your physical assets
  • Relationships: Define parent-child hierarchies and dependencies between assets

Key Benefit: Transform disparate data into a cohesive, contextualized digital model that everyone in your organization can understand.

Explore Compose →

Orchestrate - Pipeline Automation & Workflows​

Once data is connected and modeled, Orchestrate lets you build powerful, event-driven pipelines to transform, analyze, and route data in real-time:

Visual Pipeline Designer​

Build complex data flows with an intuitive drag-and-drop interface—no coding required. Subject matter experts can design their own analytics pipelines without waiting for IT resources.

Triggers​

  • Manual: On-demand execution for testing and ad-hoc analysis
  • Scheduled: Cron-based execution for periodic reports and batch processing

Transforms​

  • Buffer: Handle backpressure and smooth out data spikes
  • Set: Update fields, add metadata, or enrich data
  • Map & Filter: Select, rename, and transform data structures
  • Aggregate: Roll up data across time windows or groups

Logic​

  • Conditions: Branch pipelines based on business rules
  • JavaScript: Write custom logic for complex transformations
  • Merge: Combine data from multiple sources

Actions​

  • Function Instances: Execute reusable business logic
  • Connector Nodes: Write back to databases, send to APIs, publish to UNS
  • Alerts & Notifications: Trigger actions when thresholds are breached

Explore Orchestrate →

Real-World Impact​

Before MaestroHub​

  • Weeks to integrate each new data source
  • Manual data cleaning consuming a large share of analyst time
  • Point-to-point complexity growing exponentially
  • Siloed data preventing cross-functional insights
  • Slow time-to-value for digital transformation projects

After MaestroHub​

  • Hours to connect new systems via drag-and-drop
  • Automated data standardization with ISA-95 contextualization
  • Hub-and-spoke architecture with linear scaling
  • Single source of truth accessible organization-wide
  • More projects delivered with faster ROI on digital initiatives

Use Cases​

Predictive Maintenance​

Connect equipment sensors → Model asset hierarchy → Orchestrate anomaly detection pipelines → Send alerts before failures occur

Production Optimization​

Collect cycle times from PLCs → Compose line-level models → Calculate OEE in real-time → Visualize bottlenecks on dashboards

Quality Traceability​

Ingest vision system results → Link to batch records → Transform into compliance reports → Archive for audit trails

Energy Management​

Gather meter readings → Contextualize by production area → Compute energy per unit → Identify optimization opportunities

Supply Chain Visibility​

Extract ERP data → Map to factory events → Orchestrate just-in-time alerts → Synchronize production with demand

Getting Started​

Ready to transform your manufacturing data operations?

  1. Start with Connect – Set up your first data source
  2. Move to Compose – Define your factory's digital structure
  3. Build with Orchestrate – Create your first data pipeline

Each section provides detailed guides, configuration options, and best practices to help you get the most out of MaestroHub's data integration capabilities.

Pro Tip

Data integration is most powerful when combined with MaestroHub's Unified Namespace (UNS). Once data flows through UNS, any application or user can subscribe to it in real-time without custom integrations.