Purpose-built infor lawson data extraction tool — Lawson S3 database extractor (SQL Server/Oracle/DB2), Process Flow event subscriptions, LSF security exports. Covers all 9,000+ Lawson tables across Financials, Supply Chain, HCM and MHC. Read-only, throttled, audit-logged.
Building your own Lawson S3 extractor looks tractable in week one. By month three you're still debugging composite-key joins, RW watermark logic, Process Flow subscription handlers and SQL Server vs Oracle vs DB2 collation differences.
Infor Lawson S3 is a 25+ year-old ERP whose data model reflects three decades of healthcare and public-sector-specific evolution. 9,000+ tables. Cryptic 8-character names (GLAMOUNTS, APINVOICE, HRHISTORY, CTRHEADER). Composite natural keys that aren't enforced as primary keys in the DDL. RW audit columns that drive change tracking but live alongside table-specific timestamp conventions. The underlying database can be SQL Server, Oracle or DB2 depending on the deployment. LSF security inheritance is non-trivial. The hosting story (on-premise, Infor-hosted, partner-hosted) means database access patterns vary by customer.
A purpose-built infor lawson data extraction tool collapses six months of bespoke development to a single configuration step. Syntra ETL's extractor ships read-only stored procedures and table-aware extract scripts for every Lawson table that matters, Process Flow subscription handlers for in-flight transactional capture, and LSF security-model adapters for user/role exports. The extractor is read-only by design (no schema changes, no writes), runs throttled against read-replicas where available, and every extract produces a hash-signed manifest for downstream reconciliation.
The extracted data is uniformly staged as Parquet in cloud object storage, partitioned by company and fiscal year, with original attachments preserved in their binary form. From that staging layer, downstream consumers — Fusion migration loads, long-term cloud archive, analytics warehouse, compliance reporting — all read from the same governed extract. No double-extraction, no double-reconciliation.
Eight pre-built capabilities that turn six months of bespoke Lawson development into a single configuration step.
All 9,000+ Lawson tables pre-mapped with natural keys, foreign-key relationships, RW watermark conventions, business-domain classification. Custom tables auto-scanned and added.
RW-column watermark drives incremental extracts at table level. Full-load mode for initial migration baseline. Process Flow subscription for real-time CDC.
Subscribes to Process Flow / IPA events via standard subscription model. Captures full event payload + processing metadata. Stages by source module + event type + timestamp.
Retrieves attachment binaries from Lawson BLOB columns, file shares or external repositories (Documentum, FileNet, S3). Preserves original Lawson attachment-id for downstream binding.
Users, roles, permission assignments exported via LSF metadata. Feeds Fusion IDCS migration. Supports SSO continuity through cutover.
Uniform Parquet staging in cloud object storage. Partitioned by company + fiscal year. Hash-signed manifests per partition for downstream reconciliation.
No schema changes, no writes. Runs against read-replica when available. Throttled to respect tenant limits. Full HIPAA-grade access log for every extract operation.
Multi-instance Lawson customers (post-M&A) extracted in parallel through unified pipeline. Cross-instance dedupe and harmonization driven from staging layer.
From kickoff to first reconciled extract in roughly 5–7 weeks. From there, ongoing incremental extracts run on schedule.
Lawson DB credentials provisioned (read-only), Process Flow subscription registered, LSF metadata access configured. Lawson metadata catalog walked; custom tables identified; Process Flow inventory captured.
Scope agreed (which tables, which Process Flow events, which fiscal years), incremental watermark strategy chosen per table (RW timestamp, fiscal-period anchor, batch-id), partition strategy designed.
Initial full-load extracts run table by table with throttling. Output staged as Parquet in cloud object storage with hash-signed manifests. Reconciled against Lawson source counts/sums.
Incremental watermark extractors scheduled (typically nightly or 4-hourly). Process Flow subscription handler activated for real-time CDC. Operational monitoring dashboards live.
Downstream consumer validation — Fusion migration team, archive consumer, analytics team. Sign-off pack issued (extract counts, sums, hash signatures, sample events). Steady-state operation begins.
The extracted data lands in a single governed staging layer. Four downstream consumers pull from the same source — no double-extraction.
Migration team transforms staging extracts into FBDI + HDL payloads. Same source data drives every pillar — Financials, Supply Chain, HCM — with consistent reconciliation.
Older Lawson history (beyond Fusion operational window) routes to long-term cloud archive. Same staging extracts; different retention policy and access pattern.
Analytics team consumes staging Parquet via Snowflake/Databricks/BigQuery. Same Lawson tables, modern analytics surface. Powers Oracle Analytics Cloud rebuilds of Birst dashboards.
Audit team consumes hash-signed extracts for SOX 7-year, HIPAA 6-year and state-specific retention reporting. Read-access logs satisfy auditor evidence requirements.
An infor lawson data extraction tool is a purpose-built platform for reading data out of Infor Lawson S3 — the long-running healthcare and public-sector ERP — and landing it in a staging layer (cloud object storage, data warehouse, or Fusion-ready format) for migration, archival, analytics or compliance reporting. Syntra ETL's infor lawson data extraction tool ships pre-built connectors for three layers: direct Lawson S3 database extraction (SQL Server, Oracle or DB2 backing tables), Process Flow / IPA event subscriptions for transactional streams, and LSF security model exports for user/role context. It handles all 9,000+ Lawson tables across Financials, Supply Chain and HCM, plus MHC patient accounting where deployed.
You can — but you'll spend 4–6 months building a robust extractor. The complications: Lawson S3 has 9,000+ tables with cryptic 8-character names (GLAMOUNTS, APINVOICE, HRHISTORY); natural keys are composite and non-obvious (Company + Accounting Unit + Account + Subaccount + Fiscal Year + Period for GL); the RW audit columns drive change-data-capture but are easy to miss; the underlying database can be SQL Server, Oracle or DB2 with different collation conventions; LSF security inheritance is non-trivial; some Lawson deployments are on-prem and some are hosted, with different access patterns. Syntra ETL's infor lawson data extraction tool handles all of that on day one with read-only stored procedures and table-aware extract scripts refined across dozens of Lawson implementations.
All 9,000+ Lawson tables across the Infor Lawson footprint. Financials: GLAMOUNTS, GLCONTROL, GLNAMES, APINVOICE, APDISTRIB, APPAYMENT, ARCUSTOMER, ARINVOICE, AMASSET, AMDEPRSCHED, CBBALANCE plus the supporting reference tables. Supply Chain: POHEADER, POLINE, REQHEADER, REQLINE, ITEMMAST, ITEMLOC, PARLOCN, CTRHEADER, CTRTIER, CTRREBATE, VENMAST. HCM/Payroll: EMPLOYEE, HRHISTORY (the audit log of every HR change), DEPTCODE, JOBCODE, POSITION, PAEMPLOYEE, PAYHIST, DEDHIST, BENHIST, PRPOSITION. Plus Lawson-specific operational tables for batch processing, security, document attachments and Lawson Process Flow scripts, plus MHC patient-accounting tables where deployed. Custom tables added by your implementation are scanned automatically and added to the catalog.
Lawson Process Flow (and the earlier IPA — Infor Process Automation) is the workflow engine for Lawson S3. It carries customer-specific approval routing, automated GL posting rules, supply requisition auto-approval logic, payroll exception handling and dozens of other custom flows. The Syntra infor lawson data extraction tool subscribes to Process Flow events via the published event subscription model, captures every event with full payload and processing metadata, and stages to cloud object storage indexed by source module + event type + timestamp. This is the cleanest way to capture in-flight transactional state during a cutover window — and it's also a great audit trail for SOX/HIPAA reconstruction of who-approved-what-when across the system.
Yes. Many US health systems and public-sector customers still run Lawson S3 on-premise. Others have moved to Infor-hosted or partner-hosted Lawson. Our extractor supports both deployment patterns. On-premise: direct database connection (SQL Server, Oracle or DB2) via the existing Lawson DB account with read-only privileges. Hosted: extraction runs against the customer-side data warehouse export, or via Lawson tenant-extract APIs, or through an approved read-replica. The extraction logic and output format are identical; the connector layer adapts to whichever access path your tenant supports. Mixed-deployment customers (some hospitals on-prem, some hosted) extract through a unified pipeline.
Lawson S3 stores attachment binaries either in the database (BLOB columns), on a Lawson-managed file share, or in an external document repository (Documentum, FileNet, or modern S3/Azure object storage). The Syntra infor lawson data extraction tool catalogs every attachment reference (linked to AP invoice headers, PO headers, contract documents, employee files, clinical incident reports), retrieves the binary from wherever it lives, and stages it in cloud object storage with the original Lawson attachment-id preserved as cross-reference. For Fusion-target migrations, attachments are bound to Fusion UCM via FBDI attachment metadata. For archive-target loads, attachments stay in object storage indexed by document-id with full HIPAA-compliant access logs.
Lawson 4GL is the historical customization language used across Lawson S3 deployments — local additions to forms, custom validation rules, batch-program personalizations. LSF (Lawson System Foundation) hosts Java-based customizations, security extensions and the application framework. The infor lawson data extraction tool inventories every 4GL personalization and LSF customization, exports the source code, documents trigger conditions and downstream actions, and feeds the analysis into the Fusion migration plan: Approvals Management (AMX) for approval flows, OIC orchestrations for integration flows, Visual Builder extensions for UI personalizations, BI Publisher bursts for automated reporting flows. The rebuild team gets a complete reference of what needs porting and what can be retired.
Yes. The extractor supports two incremental modes: (1) RW-column watermark mode — Lawson's built-in record-write timestamps drive incremental extracts at table level, suitable for analytical sync and migration delta capture; (2) Process Flow event subscription mode — transactional events stream in real time via Process Flow subscription, suitable for change-data-capture into a data warehouse or for continuous feed to a parallel-run Fusion environment. Most customers use incremental extraction during the migration's parallel-run window (capturing Lawson deltas and replaying into Fusion via REST API), and a subset continue running the extractor post-cutover to feed a long-term Lawson cloud archive for SOX/HIPAA/state retention compliance.
Book a 30-minute discovery call. We'll walk through your Lawson deployment topology (on-prem, hosted, hybrid), LSF customization profile, Process Flow inventory and downstream consumer requirements — and give you a concrete extraction plan and timeline before the call ends.