Reference Data & Master Data Management for ETRM

Practical course on building robust reference data and MDM platforms tailored for ETRM systems. Learn domain modeling, taxonomy, entity resolution, stewardship, synchronization patterns and governance required to keep your trading platform accurate, auditable and performant.

View Curriculum Request Brochure
Format: Self-paced + Instructor-led · Duration: 4–8 weeks · Level: Intermediate → Advanced

Course Snapshot

  • • Master domains: Instruments, Counterparties, Locations, Books, Portfolios, Rates & Curves
  • • Entity resolution, golden records, and lineage
  • • MDM architectures: hub-and-spoke, registry, and hybrid
  • • Integration patterns for Gravitas ETRM, TRM, Allegro and data warehouses
Includes data quality frameworks, stewardship workflows, and practical implementation templates you can reuse.

Overview

Reference data and master data are foundational for correct pricing, risk calculation, settlement and regulatory reporting in ETRM environments. This course teaches how to design and operate MDM solutions that keep trading systems consistent, reduce reconciliations, and support fast, auditable deployments.

Who should attend

Data architects, ETRM implementers, data stewards, platform engineers, and trading ops leads.

Key outcomes

Deliver master data models, stewardship processes, synchronization patterns and operational playbooks to run MDM for ETRM.

Prerequisites

Familiarity with ETRM trade concepts, basic SQL and an understanding of system integration concepts.

Curriculum — Modules & Topics

Comprehensive modules from domain modeling to governance and implementation patterns.

Module 1 — Master Data Domains for ETRM

  • Instruments & instrument family taxonomy (forwards, swaps, options, physical commodities)
  • Counterparties & legal entities, books, portfolios, locations, curves and calendars
  • Reference attributes: currencies, units, settlement rules, delivery points

Module 2 — Logical & Physical Data Modeling

  • Conceptual → logical → physical model translation for OLTP & OLAP
  • Normalized vs denormalized patterns for fast joins and analytics
  • Schema versioning and compatibility strategies

Module 3 — Entity Resolution & Golden Record

  • Matching strategies (deterministic, probabilistic), fuzzy matching and scoring
  • Golden record creation, survivorship rules and conflict resolution
  • Tools & libraries: OpenRefine concepts, dedupe, custom scoring pipelines

Module 4 — MDM Architectures & Patterns

  • Hub-and-spoke, registry, and hybrid MDM patterns
  • Real-time vs batch sync: CDC, event-driven registry, and API façade
  • Metadata store, schema registry, and contract governance

Module 5 — Data Quality & Validation

  • DQ rules: completeness, accuracy, consistency, uniqueness
  • Automated validation pipelines, shadow writes & quarantine queues
  • Data quality KPIs and dashboards for stewards

Module 6 — Stewardship & Workflows

  • Stewardship UI patterns, task management and approval flows
  • Change requests, versioned updates, and audit trails
  • SLAs and escalation for data fixes impacting trading

Module 7 — Integration with ETRM & Downstream Systems

  • Adapters to Gravitas ETRM, TRM, Allegro — mapping canonical attributes to platform fields
  • Synchronization patterns: push (API) vs pull (registry) vs publish/subscribe
  • Idempotent updates and change-data-capture (CDC) strategies

Module 8 — Governance, Lineage & Compliance

  • Data lineage, provenance, and impact analysis for regulatory audits
  • Policies: retention, masking, PII handling and role-based access
  • Operational runbooks, monitoring and remediation playbooks

Reference Architectures & Implementation Patterns

Practical blueprints for implementing MDM in ETRM landscapes.

Registry + Event-driven Façade

Central registry stores canonical records and emits events on change. Downstream ETRM adapters subscribe and reconcile. Provides low coupling and easy onboarding for legacy systems.

Hub-and-Spoke (Master Hub)

Central hub is the golden source — authoritative writes allowed only through governance workflows; spokes sync periodically or on-change to local systems for performance.

CDC + Event Sourcing for Near-real-time Sync

Use CDC from master data systems (Debezium / kafka-connect) to keep caches and ETRM systems in sync while preserving order and idempotency.

Schema Registry & Contract Governance

Store canonical JSON/Avro schemas in a registry, manage versions and compatibility, and enforce contracts with tests and CI pipelines.

Platform examples: combination patterns using Postgres/Snowflake for storage, Kafka for events, a lightweight registry UI (custom or open-source MDM), and orchestration via Airflow/Temporal for batch jobs.

Hands-on Labs & Exercises

Practical exercises to build reusable master data components and processes.

Lab 1 — Instrument Taxonomy & Canonical Schema

Design canonical schema for instruments with versioning; implement JSON Schema/Avro and a small registry.

Lab 2 — Counterparty Matching & Golden Record

Build deterministic + fuzzy matching, scoring, survivorship rules and generate golden records with provenance metadata.

Lab 3 — CDC Sync to ETRM Sandbox

Set up a CDC pipeline (Debezium/kafka-connect) to stream master updates and apply them to a mock Gravitas ETRM/TRM table while handling ordering and idempotency.

Lab 4 — Stewardship UI & Approval Workflow

Build a basic stewardship UI (React stub) to approve or reject changes, record audit trail and produce versioned snapshots.

Lab 5 — Data Quality Framework & Dashboards

Implement rule engine for DQ checks, create a dashboard (Grafana/Metabase) showing completeness, uniqueness and freshness KPIs.

Capstone — MDM for ETRM Mini-Project

Deliver a mini-MDM system: canonical schemas, golden records, CDC sync to mock ETRM, stewardship UI and DQ dashboards. Provide architecture doc and runbook.

Deliverables & Materials

Pricing & Delivery Options

Self-paced

US$199

Recorded modules, schema catalog and lab guides.

Cohort (Instructor-led)

Contact

6-week cohort with live labs, code reviews and capstone feedback.

Enterprise

Custom

Private workshops, on-site MDM design and production hardening.

Optional addons: managed MDM proof-of-value, master-data migration assistance, and vendor evaluation support.

Contact & Custom Requests

Want an enterprise quote, private cohort, or a customized syllabus? Tell us about team size, preferred delivery and target outcomes.