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Dynamics 365 F&O Reference Database

A searchable reference for Dynamics 365 Finance & Operations tables, data entities, fields, and relationships. Built for supply chain and analytics practitioners landing F&O data into Databricks via Synapse Link or Fabric Link — with a quirks guide for the DataAreaId partitioning, RecId surrogate keys, InventDim dimensions, enums, and UTC/sentinel dates that trip up every first F&O extract.

59
Tables
26
Entities
10
Modules
10
Quirks

How this is scoped

  • Scope: the supply-chain core — product, inventory, sales, and procurement — plus the shared party and financial-dimension foundations every table points back to. The catalog spans 59 tables and 26 data entities today and is still growing; it leads with the objects an analyst reaches for most, not a full metadata dump.
  • Two axes:F&O exposes data both as raw tables and as export-shaped data entities. This reference documents both — the tables you land, and the entities that expose them — because some core objects (InventTrans, InventSum, DirPartyTable) have no standard export entity and must be landed raw.
  • Verification: field names, keys, and structural facts are curated against the Microsoft CDM schema pages; enum integer values ship only when verified, and every description is original wording. Last verified July 2026.
  • Built for analytics: relationships focus on the joins you'll actually write — header/line pairs, shared-EDT foreign keys, RecId surrogate references, and the InventDim dimension hop that trips up every first on-hand query.

Frequently Referenced Tables

The workhorses of F&O supply-chain analytics — the inventory ledger and on-hand, sales orders, the item master, and the customer master.

Frequently Used Data Entities

The export-shaped surfaces behind the order-to-cash and procure-to-pay data — what a Synapse Link or OData export gives you.

The F&O quirks guide

The encoding and modeling traps that make a first F&O extract wrong in ways that look right. Each links to a worked Databricks SQL pattern.

Getting F&O into your lakehouse

Export to Data Lake is retired. The extraction guide covers the supported paths — Synapse Link for Dataverse and Fabric Link — the metadata columns they add, soft deletes and incremental MERGE patterns, and when to land raw tables vs entity-shaped exports.

Read the extraction guide →

Browse by Module

Organized by functional area. Click a module to see its tables and data entities.

Sources & further reading

Table structure, entity names, and extraction behavior are authoritative only at source. Use these references to verify before building on any claim in this reference.

Microsoft official