Oracle ERP on Databricks
For companies running Oracle Fusion Cloud ERP, E-Business Suite, JD Edwards, or NetSuite: we land ERP data in the Databricks lakehouse, model it the way your business actually works, and reconcile it to the system of record.
25years of Oracle
ERP delivery
Where ERP logic hides
GL_JE_LINESFusion Cloud ERP, via BI Cloud ConnectorMTL_MATERIAL_TRANSACTIONS E-Business Suite inventoryF4211JD Edwards sales order detailTransactionLineNetSuite transactionsIn the lakehouse
Reconciled to the system of recordBronze, silver, and gold layers, so every report uses the same logic.
Sound familiar?
Oracle ERP is excellent at running transactions. Getting that data into the hands of planners, finance, and AI is a different job, and it’s usually where things stall.
You don’t need to replace your ERP. You need its data where analytics and AI can use it.
Book an ERP Lakehouse AssessmentIn reporting
Month-end numbers come from spreadsheets stitched together from ERP extracts.
OBIEE, OTBI, BI Publisher, or saved-search reports are slow, brittle, and owned by one person.
Every new question becomes a custom report request to IT.
Forecasting and planning run on data that’s a day or a week old.
In the data stack
ERP data has never left the ERP, or lands raw in a warehouse nobody trusts.
PowerCenter or ODI jobs still move the data, and standard support for PowerCenter 10.5 ended in March 2026.
Acquisitions left you with more than one ERP or instance, and no single view across them.
AI pilots stall because ERP data isn’t modeled, governed, or reconciled.
Why ERP depth matters
A lakehouse is only as trustworthy as the ERP logic it preserves. After 25 years inside Oracle ERP, we model your data so it reconciles to the system of record, and we archive what you don’t migrate with ennData360.
No direct database access, so data comes out through BI Cloud Connector extracts and REST APIs, modeled to hold up through quarterly updates and reconciled to the ledger.
BI Cloud Connector extracts, landed with file ingestion
Quarterly updates
GL_JE_LINES
Multi-org structures, flexfields, and GL, Inventory, WIP, BOM, Purchasing, and Order Management modeled correctly, using our EBS-to-Databricks accelerator.
Queried in place with Lakehouse Federation, then change data capture with Lakeflow Connect
Multi-org structures and flexfields
MTL_MATERIAL_
Julian dates, implied decimals, user-defined codes, and F-table naming translated into business-ready models for finance, distribution, and manufacturing.
Queried in place with Lakehouse Federation, then change data capture with Lakeflow Connect
Julian dates and implied decimals
F4211
Saved searches, custom records and fields, and API governance limits handled, so NetSuite data lands complete and on schedule instead of through spreadsheet exports.
A managed NetSuite connector
API governance limits
TransactionLine
The offer
A senior architect reviews your Oracle ERP data, reporting, and integration landscape, then designs the Databricks lakehouse to fit it, before any larger commitment.
Book the AssessmentWhich modules, tables, and reports matter, how data leaves the ERP today, and the volumes and refresh needs behind each one.
Ingestion, medallion layers, Unity Catalog governance, and a compute-cost model sized to your real workloads.
A first subject area chosen for business value, such as order-to-cash or inventory, plus a sequenced plan for retiring legacy reports and ETL.
Built on Databricks
We build with Databricks’ own services, so your ERP lakehouse is easier to govern, cheaper to run, and ready for what Databricks ships next.
Oracle ERP
Query Oracle databases in place to prove value early, then capture changes from EBS and JD Edwards with the Lakeflow Connect Oracle CDC connector (in Beta), alongside the NetSuite connector and file ingestion for Fusion extracts.
Bronze, silver, and gold layers that turn ERP tables into subject areas, with data-quality expectations built into every pipeline.
Dashboards and natural-language Q&A on governed ERP models, so planners and finance stop waiting on report requests.
Forecasting, anomaly detection, and AI agents built on the same governed data, then tracked and served in production.
Automated assessment and code conversion for legacy warehouses and ETL, including Informatica PowerCenter, so effort goes into validation instead of rewriting.
Need support after go-live? We also run managed services for your platform. See all data intelligence services
How we work
Most enterprise data programs stall in discovery. Ours don’t. We compress assessment into weeks, not quarters, and run delivery in tight, instrumented increments your steering committee can actually track.
A fixed-scope, two-week assessment of your Oracle ERP data, reporting, and costs, and how they would land in a lakehouse.
You getA reconciliation plan, a costed architecture, and a sequenced first use case
Target architecture, Oracle ERP data models, and governance and cost guardrails, designed in from the start rather than added later. Sequenced into a roadmap with success measures.
You getArchitecture and a sequenced roadmap
We build or migrate in short increments, with the first use case in production in weeks. Every model is reconciled against your ERP source, and migrations run in parallel before cutover.
You getProduction workloads your finance team trusts
Monitoring, performance and cost tuning, and release support after go-live, then scale into the next use case. Keep us on as your managed services team, or take over with a documented runbook.
You getA platform that stays fast, governed, and affordable
Each phase is scoped and priced on its own. Stop or change direction at any phase boundary and keep the work.
Tell us which Oracle ERP you run and what you’re trying to unlock. We’ll reply within two business days to book the call, then bring a tailored discussion guide and a proposed assessment scope, with no slideware or fluff.
