Production-grade infor ln data extraction tool. Direct-DB and Infor ION dual-mode, every package covered (tc/tf/td/ti/tp/ts/qm/fm), multi-company suffix-aware extraction, scheduled deltas, Parquet/JSON/FBDI outputs. No bespoke SQL.
Hand-built queries against Baan-convention tables always start cheap and end expensive. Company-suffix segregation, DD changes across versions and ION BOD schema drift break them one by one.
Infor LN tables are not difficult to query — but they are difficult to query correctly at scale. Each package (tc, tf, td, ti, tp, ts, qm, fm) has its own naming convention, its own DD (Data Dictionary) shape, and its own company-segregation pattern where table names get suffixed with the 3-digit company code (tfgld010, tfgld020, tdsls010, tdsls020). A query written for one company breaks on the next when a company is added. A query written for LN 10.4 breaks on 10.7 when a DD column is added.
Syntra ETL's infor ln data extraction tool ships pre-built support for every production package, every company-suffix variant and every DD shape across the supported LN versions — plus quarterly extractor releases tracking Infor's own LN roadmap. Backed by an SLA. Customers typically pay back the tool in week-three savings versus equivalent custom development, and the ongoing maintenance burden (chasing DD changes, handling new tables, supporting new LN versions) disappears entirely.
Whether you need a one-shot bulk extract for Fusion migration, a scheduled nightly delta feeding your data warehouse, or a multi-TB historical archive pull for HGB/IFRS compliance — the same tool covers every case with the same governance model and the same Parquet/JSON/FBDI output options.
Every production package, every company suffix, every DD column handled.
Business partners, items, addresses, currencies, units of measure, item-classes — extracted from tcorda/tcibd/tccom with multi-language and ITAR/DFARS classification preserved.
GL ledgers, AP/AR sub-ledgers, cash management, fixed assets, multi-currency, intercompany — extracted from tfgld/tfacp/tfacr/tfcmg/tffam/tfgur per Financial Company suffix.
Sales orders, purchase orders, inventory transactions, planning, warehousing, freight — extracted from tdsls/tdpur/tdinv/tdsop/tdwhs per Logistical Company suffix.
Production orders, operations, material issues, labor, routings, BOMs, work centers, shop-floor control — extracted from tisfc/tirou/tibom per Logistical Company suffix.
Project structures, budgets, contracts, time & material, progress billing, EVM — extracted from tppdm/tpctm/tppss with full WBS hierarchy preserved.
BOD subscriptions for event-driven extraction; DD metadata for customization inventory; OS Portal config for integration mapping — feeds the discovery loop without manual export.
From DB credential provisioning to first scheduled delta run, typically completes in 3–5 days.
LN tenant DBA provisions a read-only DB user with SELECT on every active package schema, or ION admin provisions a BOD subscription with read-only OAuth2 scope. Credentials stored in your cloud KMS — Syntra never holds them in plaintext.
Extractor runtime deployed to your cloud environment (containerized, runs on Kubernetes, ECS, Cloud Run or bare VM). Output destination configured: S3/GCS/Azure Blob for files, plus optional Fusion FBDI/HDL drop targets.
Per-package extraction scope configured (which companies, which fiscal years, which tables). Schedule defined: one-shot bulk, nightly delta, weekly full snapshot. Output format per package set: Parquet/JSON/FBDI/raw BOD.
Initial full-snapshot extract runs across all configured packages and companies in parallel. For multi-TB historical archives, throttled to off-peak windows. Signed manifest produced with counts, sums and hashes per partition for downstream reconciliation.
Scheduled delta runs execute on cron, capturing modified-since records since the last watermark. Run logs feed your SOC 2 audit trail. Failures surface as alerts via email, Slack, PagerDuty or webhook — no silent drift.
The details that matter when the tool has to run unattended for years against a multi-company LN tenant.
Every extract is idempotent — re-running the same scope produces byte-identical output. Failed runs resume from the last partition checkpoint rather than starting over from scratch.
Configurable parallel-worker count and query batching respect LN's transactional DB load. Off-peak scheduling and rate-limit governors prevent contention with online operations.
Every run produces a signed JSON manifest with record counts, sum totals, hash signatures per company per package per partition — ready for downstream reconciliation.
DB and ION credentials encrypted at rest in cloud KMS. Parquet output encrypted at rest with KMS-managed keys. TLS 1.3 in transit. ITAR/DFARS records routed through isolated pipeline.
Prometheus metrics exposed for extraction throughput per package, error rates, DB latencies, queue depth. Grafana dashboards shipped. Plug into your existing observability stack.
Every credential use, every query, every output write logged with user, timestamp, scope and result. Audit logs ship to SIEM via standard syslog or CloudTrail integration.
An infor ln data extraction tool is a piece of software that authenticates to an Infor LN tenant (via direct database connection, Infor ION subscription or OS Portal API), reads the Baan-convention tables across packages (tc, tf, td, ti, tp, ts, qm, fm), and streams the resulting data — rows for structured records, BODs for event-driven extraction — to a destination of your choice. Syntra ETL's extractor authenticates via dedicated read-only DB credentials or ION OAuth2, walks every active table including company-segregated tables (which in LN have company-suffix naming like tfgld010 for company 010), captures timestamp-based change watermarks for delta runs and hash-signs every output for downstream reconciliation. Output formats include Parquet for analytics, JSON Lines for downstream ETL, and FBDI/HDL for direct Oracle Fusion loading.
Custom SQL against Baan-convention tables always starts cheap and ends expensive. LN tables follow naming conventions that change per package, per LN version (B40c2/B61U7/10.x/10.7) and per company-segregation pattern (table tfgld010 vs tfgld020 for different Financial Companies). A custom query that works for one company breaks on the next; a query that worked on LN 10.4 breaks on 10.7 when a column adds. Infor ION's BOD payloads change schema across releases. Syntra ETL's infor ln data extraction tool ships pre-built support for every production package, every company-suffix convention, every BOD shape — backed by an SLA. Customers typically pay for the tool in week-three savings versus a hand-built equivalent.
All production packages: Common (tc — business partners, items, addresses), Finance (tf — GL, AP, AR, cash, fixed assets, intercompany), Distribution (td — sales, purchase, inventory, planning, warehousing), Industrial (ti — production, routing, BOM, shop-floor), Projects (tp — project structures, budgets, contracts, EVM), Service (ts — service contracts, service orders), Quality (qm — inspections, non-conformance), Freight (fm — freight orders). Plus DD (Data Dictionary) metadata for customization inventory. New tables and DD extensions get folded in via quarterly extractor releases tracking Infor's own LN roadmap, so you never have to chase a schema change on your own.
LN segregates company-specific data by appending the 3-digit company code as a table suffix — table tfgld010 holds GL journals for Financial Company 010, tfgld020 holds them for company 020, and so on across hundreds or thousands of company suffixes. A naïve extract query targeting tfgld misses everything. Syntra ETL's extractor walks the LN DD to discover every active company-suffixed table, classifies by Logistical vs Financial Company scope, and runs parallel extracts across all company variants with the company code preserved as a partition key in the output. Customers running multi-company configurations get clean per-company Parquet partitions ready for downstream reconciliation.
Yes. The extractor includes a built-in scheduler with cron syntax and supports timestamp-based delta extraction on every domain that exposes a modified-timestamp column (which in LN means most transactional tables via tlogfile audit-trail or trd.last-update.date columns). Common schedules: nightly delta extract feeding a downstream data warehouse, weekly full-snapshot extract for backup, monthly historical extract for archive growth. Each scheduled run produces a signed manifest (counts, sums, hashes per company per package per partition) plus a run log captured for SOC 2 audit. Failures surface as alerts through email, Slack, PagerDuty or webhook — no silent drift.
Three primary formats: Parquet (columnar, partitioned by LN company and fiscal year, ideal for downstream analytics in Athena/BigQuery/Snowflake/Spark), JSON Lines (newline-delimited JSON preserving the original LN row shape with DD-derived column names, ideal for streaming pipelines or downstream ETL), and Fusion-native loaders (FBDI ZIPs for GL/AP/AR/SCM/PPM, HDL bundles for any HCM-side data, REST API payloads for incremental delta loads). Custom output formats are configurable per package. BODs from Infor ION can be emitted in their native XML shape for downstream BPM/iPaaS integration.
Historical LN data — 10+ years of GL detail, full production-order history with operation trace, decade-long project actuals — runs to multi-TB at scale. The extractor partitions extracts across multiple parallel workers (typically by LN company and fiscal year), checkpoints progress per partition so a failed run resumes from the last successful checkpoint, and writes directly to cloud object storage (S3, GCS, Azure Blob) with KMS-managed encryption. Throughput in production: roughly 500K–2M rows per minute per worker pod, depending on table width and DB I/O capacity. Multi-TB extracts typically complete in 12–36 hours with appropriate parallelism.
Yes. The extractor authenticates with read-only DB credentials or read-only Infor ION subscription, so no write operations ever touch the tenant. Direct-DB extracts use dedicated read-only schema sessions that respect LN's row-level locking and don't interfere with online transaction processing — running with READ COMMITTED isolation and respecting LN's record locks. ION-based extracts subscribe to BODs as a passive consumer. Heavy extracts (multi-year historical pulls) are scheduled for off-peak windows. No LN admin downtime is needed, no DD changes are required, and the extractor leaves no trace beyond the standard DB query log.
30-minute discovery call. We'll scope your LN packages, company structure, historical depth and downstream destination — and have a working extract running on your tenant within a week.