Pre-built cornerstone ondemand data migration for Learning, Talent, Succession and Recruiting. Cornerstone Edge REST + GraphQL with OAuth2, RDW SQL bulk streaming, Custom Field to DFF crosswalks, SCORM/xAPI repackaging, HDL emitters, row-level reconciliation. Audit-ready evidence at every load.
The hard part isn't pulling JSON from a REST or GraphQL endpoint. It's translating Cornerstone's learning and talent model into Fusion's HCM/Learn/Talent model without losing certification chains, SCORM completion semantics or compliance-retention substantiation.
Cornerstone OnDemand presents a cloud-native data model built around Users, OUs, Learning Objects (six Learning Object types), Transcripts (the per-user training history), Certifications, Learning Paths, Performance Reviews, Goals, Succession Plans, Recruiting Requisitions and Compensation Cycles. The content layer carries SCORM 1.2/2004, xAPI (Tin Can), AICC and CMI5 packages alongside ILT/VILT session metadata. Oracle Fusion uses a different shape — Workers in HCM, Learning Items and Learning Records in Fusion Learn, Performance Documents in Talent, Requisitions in Recruit — and each Fusion domain has its own HDL bundle structure and validation rules.
Every cornerstone ondemand data migration has to bridge those gaps without breaking the chain that links an audit-visible certification back to its supporting transcript event and original SCORM completion statement. Custom REST clients and one-off transformation SQL can do it — but every domain becomes a multi-week negotiation between HR ops, learning ops, technical and compliance teams. Syntra ETL replaces that with pre-built crosswalks refined across dozens of Cornerstone conversions.
The same engine handles three deployment scenarios: full Cornerstone replacement (Learning + Talent + Succession + Recruit → Fusion), Learning-only migration with Talent kept on Cornerstone (common during phased rollouts), and the consolidation pattern where regulated-training records migrate to a long-term compliance archive while ongoing training cuts to Fusion Learn.
The transformations Syntra ETL ships pre-built. No custom REST/GraphQL scaffolding, no multi-month bespoke conversion development.
Cornerstone Custom Fields walked, classified by reporting materiality, routed: hierarchy fields to COA, segmentation fields to Worker DFFs and Learning Audiences, analytical fields to OTBI or archive.
Online Course, Curriculum, Material, Test, Session, Event types mapped to Fusion Learn Item types with prerequisite chain, completion rules and certification linkage preserved.
Multi-decade transcripts pulled via Edge + RDW, deduplicated across the Saba/EdCast/SumTotal M&A heritage, hash-signed and reconcilable to the user-course pair.
Original course, completion date, score, instructor, certification number, expiry date and renewal chain preserved with every hop signed and timestamped for OSHA/HIPAA/FDA/SOX audit defensibility.
Content packages inventoried, completion-rule semantics extracted, repackaged into Fusion-compatible SCORM bundles or uploaded with xAPI proxy. Score-band fidelity preserved.
Regulated training records (OSHA, HIPAA, FDA 21 CFR Part 11, SOX) routed to long-term immutable compliance archive with signed read-access logs and regulator-format export.
A repeatable load order that respects Fusion HCM/Learn data dependencies. Skip a step and your Learning Record load fails on missing workers or unmapped Learning Items.
Fusion enterprise structures, ledgers, BUs, departments, locations, learning categories, performance template structure, audience criteria configured. Loaded via FSM tasks — not user-facing data, but everything downstream depends on it.
Workers (HDL Worker.dat), WorkRelationship, Assignment with OU-derived department/location, Custom Field-derived DFFs. Loaded in dependency order — workers before Learning Records, departments before Workers.
Learning Items (Online Course, Curriculum, Material, Test, Session, Event equivalents) loaded via HDL Learning. SCORM/xAPI packages repackaged and uploaded to Fusion Learn content store. Learning Paths and Certifications configured.
Multi-decade transcript history loaded via HDL Learning Record. Active and expired certifications loaded via HDL Certification. Regulated-training records routed to compliance archive in parallel.
Performance Documents, Goals, 360 feedback, Succession Plans, Talent Pools, Requisitions, Candidates and Applications loaded via respective HDL bundles.
Final delta replay, parallel-month reconciliation, sign-off pack (transcript register, certification calendar, performance review counts — Cornerstone vs Fusion to the user-course). Production cut to Fusion.
Everything needed to convert Cornerstone data to Fusion-loadable payloads, with audit evidence at every step.
REST and GraphQL extractors for users, OUs, Learning Objects, transcripts, certifications, performance, succession, recruiting, compensation. OAuth2 client with token rotation and scope minimization.
Bulk historical transcript and certification extraction via RDW analytical replica. Throttled queries, partition-aware, hash-signed output. Avoids hammering Edge rate limits during multi-decade sweep.
Pre-built Cornerstone → Fusion mappings: OU to department/location, Custom Field to Worker DFF, Learning Object to Fusion Learn Item, performance form to Fusion Performance Document. Customisable per tenant.
HDL Worker.dat, HDL Learning, HDL Talent, HDL Recruit, HDL Compensation generators. Fusion 26x release validation before submission. Row-level error diagnostics surface locally.
Content package inventory, completion-rule extraction, repackaging for Fusion Learn. xAPI statement archive routed to compliance store. Score-band fidelity preserved.
Counts, sum totals, hashes at row, sum and hash level. Sign-off pack with Cornerstone register vs Fusion register per BU per fiscal year. Internal audit signs off directly.
Cornerstone ondemand data migration is the end-to-end process of moving users, OUs, Custom Fields, Learning Objects (Online Course, Curriculum, Material, Test, Session, Event), transcripts (training history per user), certifications, SCORM/xAPI/AICC/CMI5 content packages, performance reviews, goals, succession plans, recruiting requisitions and compensation cycles from your Cornerstone tenant into Oracle Fusion HCM, Fusion Learn, Fusion Talent, Fusion Recruit and Fusion Compensation. The technical heart is three-fold: streaming structured data through Cornerstone Edge REST and GraphQL APIs with OAuth2; bulk-extracting multi-decade transcript history through RDW (Reporting Data Warehouse) SQL; and downloading SCORM/xAPI content packages from the Cornerstone content library for Fusion Learn repackaging. Syntra ETL handles all three with pre-built extractors, governed crosswalks for Cornerstone Custom Fields to Fusion DFFs, and Oracle-validated HDL output.
The terms get used interchangeably, but the distinction is useful: cornerstone ondemand data migration is the full project (extract + transform + load + reconcile + cutover); cornerstone data conversion is the transformation layer specifically. Syntra ETL's Cornerstone data conversion engine ships pre-built rules for OU to Fusion department/location mapping, Custom Field to Worker DFF routing, Learning Object to Fusion Learn Item mapping, transcript record to Fusion Learning Record mapping, certification rule preservation, SCORM completion-rule repackaging, and performance-review form translation. These are rules that on a consultant-led project would otherwise eat 3–4 months of bespoke REST and SQL development.
Transcript history is the second-largest data volume in any cornerstone ondemand data migration — 15-to-20-year transcripts are routine, with single users carrying thousands of completion events spanning multiple decades of regulated training. Syntra ETL pulls transcripts in two streams: structured transcript records through Cornerstone Edge REST/GraphQL for current and in-flight history (typically the trailing 2 years for active operational use); bulk historical transcripts through RDW SQL queries against the analytical replica for older completion data. Both streams are hash-signed at extract, partitioned by user and fiscal year, and reconciled to the user-course pair. The split avoids hammering the Edge API rate limit during a multi-day historical sweep while still giving compliance ops a single reconciled output.
Yes. Custom Fields and OUs are the equivalent of EBS DFFs and PeopleSoft ChartFields for the talent domain — they drive most of the user-segmentation, training-track and reporting context in mature tenants. Syntra ETL's Cornerstone data converter walks every active Custom Field and OU in the source tenant, identifies which fields drive material reporting splits or eligibility rules in Fusion HCM and Learn, and proposes routing: hierarchy-driving OUs map to Fusion Department, Location and Business Unit; user-segmentation Custom Fields map to Fusion Worker DFFs and Learning Audience criteria; analytical-only Custom Fields route to OTBI dimensions or to the long-term Cornerstone archive. The crosswalk is reviewed by HR ops and learning ops before any Fusion-target load commits.
Syntra ETL emits Fusion-native load formats for every Cornerstone data domain: HCM Data Loader (HDL) for Worker, WorkRelationship and Assignment when worker context is being asserted; HDL Learning bundles for Learning Item, Learning Record, Certification and Learning Path; HDL Talent bundles for Performance Document, Goal, Succession Plan and Talent Pool; HDL Recruit bundles for Requisition, Candidate and Application; and REST API payloads for incremental delta loads during parallel-run and post-cutover. SCORM bundles are repackaged and uploaded to the Fusion Learn content store with full completion-rule semantics. Every payload is validated against the current Oracle Fusion 26x release schema before submission, so validation errors surface locally — not in a Fusion HCM HDL job that fails on row 47,000.
Every record extracted from Cornerstone is hashed at the source (user hash, transcript hash, certification hash, learning-object hash). Every record loaded into Fusion is re-hashed post-load. The reconciliation engine compares counts (users, transcripts, certifications, learning items), sum totals (training hours per BU, certifications by category, learning records by status) and hash signatures per BU per fiscal year. Any record that fails Fusion validation is captured with the exact field-level reason ready for bulk fix. Output is a signed timestamped reconciliation pack: Cornerstone transcript register vs Fusion Learning Record register, OSHA/HIPAA/FDA training-record counts Cornerstone vs Fusion, certification expiry calendar Cornerstone vs Fusion. Internal audit signs off on the pack directly.
Yes. After the initial bulk load, Syntra ETL captures Cornerstone deltas via the Edge API's modified-since watermark on each domain (users, transcripts, certifications, performance reviews) and replays them into Fusion through HDL incremental and REST API endpoints. This supports the standard parallel-run pattern: Cornerstone continues taking course enrollments, completion events and certification awards for 1–2 month-end cycles while Fusion is validated to the user-course. Once HR ops, learning ops and compliance sign off, new training delivery cuts to Fusion and the Cornerstone tenant moves to read-only archive mode. SCORM content delivery cuts over at the same moment.
Regulated training records require defensible retention with auditable trace from the certification or training-completion event back to the original learning content and assessment record. SOX requires 7-year retention of training records that support segregation-of-duties and key-control training. OSHA requires 5+ years of safety-training records. HIPAA requires 6 years of privacy-training records. FDA 21 CFR Part 11 requires life-of-product GxP training-record retention for pharma and medical-device manufacturers. Syntra ETL's cornerstone ondemand data migration preserves the full chain: Fusion Learning Record → Original transcript event → SCORM/xAPI completion statement → Score and assessment record, with every hop signed and timestamped. Whether records land in Fusion or in the long-term compliance archive, the read-access log is captured for regulator audit evidence.
Book a 30-minute discovery call. We'll walk through your Cornerstone modules, transcript volume, SCORM/xAPI library, Custom Field profile and compliance-retention obligations — and produce a concrete data-conversion plan and budget.