Pre-built infor ln etl connector. Direct-DB and Infor ION dual-mode extraction across all 8 Baan packages, multi-company suffix-aware, scheduled CDC, FBDI/Snowflake/BigQuery/Parquet outputs. Quarterly maintenance tracking Infor's LN roadmap.
Full coverage of every production Baan package, every company-suffix variant, every DD extension and every Infor ION BOD shape — backed by an SLA and quarterly maintenance releases.
Infor LN is a difficult source system to integrate well at scale. Eight production packages with different naming conventions, company-suffixed transactional tables that multiply with every Logistical and Financial Company in the tenant, a DD extensibility layer where customers add custom fields directly to standard tables, and Infor ION BOD shapes that change between LN releases — every dimension is a place where custom integration silently breaks.
The Syntra ETL infor ln etl connector inverts the model. Pre-built coverage for every production package, every company-suffix variant and every DD shape across supported LN versions. Automatic discovery of new tables when companies get added or DD changes happen. Quarterly maintenance releases tracking Infor's own LN roadmap. Backed by an SLA so connector defects are Syntra's problem, not yours.
Multiple deployment scenarios from a single connector: bulk migration extracts for Fusion cutover, scheduled CDC for downstream data warehouse, on-demand extracts for compliance reviews, real-time event streams for hybrid operation, and ad-hoc historical pulls for audit responses. Same engine, same governance, same observability — pick the use case per pipeline.
Every production Baan package covered. Every company-suffix variant handled. Every DD extension supported.
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.
Service contracts (ts), quality inspections (qm), freight orders (fm) — extracted with full transactional state and audit-trail preservation.
Standard deployment pattern across customer environments — from credential provisioning to first scheduled extract.
LN DBA provisions read-only DB user with SELECT on every active package schema, or ION admin provisions BOD subscription with read-only OAuth2 scope. Credentials stored in customer cloud KMS — Syntra never holds in plaintext.
Connector runtime deployed to customer cloud (Kubernetes, ECS, Cloud Run, or bare VM). Output destination configured: S3/GCS/Azure Blob for lake, Snowflake/BigQuery/Redshift for warehouse, FBDI/HDL drop for Fusion.
Per-package extraction scope (which companies, which fiscal years, which tables). Schedule defined: one-shot bulk, nightly delta, hourly CDC. Output format per package set: Parquet/JSON/FBDI/raw BOD.
Initial full-snapshot extract runs in parallel across configured packages and companies. Multi-TB historical archives throttled to off-peak. Signed manifest produced with counts, sums and hashes per partition.
Scheduled delta runs execute on cron, capturing modified-since records since last watermark. Run logs feed SOC 2 audit. Failures surface as alerts via email/Slack/PagerDuty/webhook — no silent drift.
Quarterly maintenance releases tracking Infor's LN roadmap applied per customer schedule. Dedicated customer-success engineer for first 90 days. 24x5 support SLA for connector defects and schema changes.
The operational characteristics that matter when the connector has to run unattended for years against a multi-company LN tenant.
Every extract idempotent — re-running the same scope produces byte-identical output. Failed runs resume from last partition checkpoint.
Configurable parallel-worker count and query batching respect LN's transactional DB load. Off-peak scheduling and rate-limit governors prevent contention.
Every run produces signed JSON manifest with record counts, sum totals, hash signatures per company per package per partition — ready for reconciliation.
DB and ION credentials encrypted at rest in cloud KMS. Output encrypted at rest with KMS-managed keys. TLS 1.3 in transit. ITAR/DFARS records isolated.
Prometheus metrics exposed for throughput per package, error rates, DB latencies, queue depth. Grafana dashboards shipped. Plug into existing stack.
Every credential use, every query, every output write logged with user, timestamp, scope and result. Audit logs ship to SIEM via syslog or CloudTrail.
The Syntra ETL infor ln etl connector is a production-grade, pre-built integration component that extracts data from Infor LN tenants (direct DB or Infor ION) and lands it in any destination — Oracle Fusion (FBDI/HDL/REST), cloud data warehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks), data lake (S3/GCS/Azure Blob with Parquet), or downstream ETL (Airflow, dbt, Fivetran). The connector ships with full coverage across all 8 production Baan packages (tc, tf, td, ti, tp, ts, qm, fm), automatic discovery of company-suffixed table variants, scheduled deltas with timestamp-based CDC, and signed manifests per run for reconciliation. Quarterly releases track Infor's own LN roadmap so you never chase schema changes.
Custom Infor LN integration always starts cheap and ends expensive. Each Baan package has its own naming convention, each LN version (10.4 / 10.5 / 10.6 / 10.7 and the older B40c2 / B61U7) has DD differences, each multi-company tenant has company-suffixed table variants (tfgld010, tfgld020, ...), and Infor ION BOD shapes change between releases. A custom query that works for one tenant on one version breaks on the next when a column adds or a company is provisioned. The Syntra ETL infor ln etl connector handles every variant with quarterly maintenance releases tracking Infor's roadmap — backed by an SLA. Customers typically pay back the connector in week-three savings versus custom development.
Multiple destination categories: Oracle Fusion (FBDI ZIPs for GL/AP/AR/SCM/PPM bulk loads, HDL bundles for HCM, REST API payloads for delta loads), cloud data warehouses (Snowflake via Snowpipe, BigQuery via load jobs, Redshift via COPY, Synapse via PolyBase, Databricks via Delta), data lakes (S3/GCS/Azure Blob as partitioned Parquet with KMS encryption), downstream ETL platforms (Airflow as a hook, dbt as source, Fivetran-compatible normalized schema), and direct database (PostgreSQL, MySQL, SQL Server, Oracle Database for relational target). Custom destinations addable via the SDK in 1–2 weeks for unusual targets.
Timestamp-based CDC on every transactional package that exposes a modified-timestamp column (which in LN means most transactional tables via tlogfile audit-trail or trd.last-update.date columns). The connector tracks high-water marks per package per company per partition, runs incremental extracts capturing only modified-since records, and produces signed manifests per delta run with counts, sums and hashes for reconciliation. Sub-minute latency possible with Infor ION BOD subscription as the trigger mechanism. Failed runs resume from the last successful watermark — no full re-extract needed on transient errors.
Yes. The Syntra ETL infor ln etl connector deploys as a containerized runtime in your cloud environment (Kubernetes, ECS, Cloud Run, or bare VM), authenticates with credentials stored in your cloud KMS, and writes output to your cloud object storage or database. Syntra never holds your data or your credentials in plaintext — the connector runs entirely within your security boundary. This supports German data-residency requirements (Schrems II / GDPR), ITAR/DFARS controlled-data requirements (data stays within US cloud regions and within customer-controlled tenancy), and customer-side SOC 2 audit scope (every connector action logged within customer-controlled observability).
Historical extracts (10+ years of GL detail, full production-order history with operation trace, decade-long project actuals) run to multi-TB at scale. The connector partitions extracts across multiple parallel workers (typically by LN company and fiscal year), checkpoints progress per partition so failed runs resume from the last successful checkpoint, and writes directly to cloud object storage with KMS encryption. Throughput in production: 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, off-peak scheduling and DB-load awareness.
Yes. Every Syntra ETL infor ln etl connector deployment includes: complete schema documentation for every supported package (column-level DD definitions, sample values, mapping recommendations), runbook documentation for common operations (deployment, credential rotation, scope changes, schedule changes, error recovery), 24x5 support SLA covering connector defects and Infor schema changes, quarterly maintenance releases tracking Infor's LN roadmap, and dedicated customer-success engineer for the first 90 days post-deployment. Customers running production LN integrations report this as the single biggest differentiator versus open-source extractors that go stale.
Integration with existing pipelines is the most common deployment pattern — most customers already have data infrastructure (warehouse, lake, dbt models, BI tools) and want LN data flowing in alongside other sources. The connector emits standard formats (Parquet for lakes, JSON Lines for streaming, normalized relational schema for warehouses) that drop directly into existing tools. dbt source definitions, Airflow DAG templates and Fivetran-equivalent normalized models ship in the connector documentation. Customers running modern data stacks (Snowflake + dbt + Looker, BigQuery + dbt + Mode, Databricks + Spark + Tableau) consistently report 1–2 week integration with existing pipelines.
30-minute discovery call. We'll scope your LN packages, company structure, historical depth and destination needs — and have the connector running on your tenant within a week.