DataMove
Enterprise Data Movement and Transformation with DataMove
Connect enterprise applications, extract structured and unstructured data, apply complex transformation rules and deliver target-ready outputs through one controlled platform.
What is DataMove?
DataMove is the execution engine within SyntraETL. It handles extraction, transformation, validation preparation, target generation, loading, incremental processing, integration and orchestration across the full migration cycle — from a one-time cutover to ongoing synchronization between applications.
DataMove moves and transforms data. DataVault stores source, transformed and target states and supports lineage and reconciliation. DataLens displays progress, quality and operational insights.
DataMove powers data movement and transformation within SyntraETL. DataVault preserves lineage and reconciliation evidence, while DataLens provides operational and migration intelligence.
DataMove works together with DataVault and DataLens as one SyntraETL platform.
Project experience
DataMove in Production
300+ successful enterprise data projects delivered · Migration · Archival · Reconciliation · Decommissioning
Migration, archival, reconciliation and decommissioning experience across ERP, HCM, payroll and enterprise platforms.
- SAP ECC Legacy source platform
- Oracle Fusion Target cloud platform
- Multi-cycle Rehearsals before cutover
- 6 months Discovery to production cutover
- 3 Migration cycles
- 6 Workforce data domains
- $1B+ Customer annual revenue
- CRM Customer & sales data migrated
- Automated Source-to-target mapping
- SAP R/3 Legacy source platform
- Oracle Fusion Target cloud platform
- Multi-cycle Controlled migration cycles
Core Capabilities
Eight capability areas covering the full data-movement lifecycle.
Connect to Enterprise Systems
Application APIs, databases, SFTP, structured files, legacy extracts, attachments and binary content.
Explore connectors →Full and Incremental Extraction
Full-volume extraction, date-filtered extraction, delta extraction, deleted-record detection, API pagination, restartable jobs and extraction control totals.
Complex Transformation
Field mapping, conditional logic, SQL-style rules, formula-based transformations, lookups, aggregation, record splitting and consolidation, cross-record derivation and effective-dated transformations.
Data-Quality Preparation
Standardization, mandatory-field derivation, invalid-value handling, duplicate identification, parent-child checks, referential-integrity validation and technical or fake-change filtering.
Target-Ready Output
Oracle HDL, Oracle FBDI, REST and SOAP payloads, Workday EIB and web services, Salesforce APIs, CSV, XML and JSON outputs.
Interfaces such as ADP and Dynamics 365 are supported where the target's own interface allows it, or can be configured for that target.
Controlled Loading
Dependency sequencing, batch management, parallel processing, target submission, status retrieval, retry, restart and selective resubmission.
Delta Loads and Synchronization
New, changed and deleted records, watermark management, incremental output, cutover delta, scheduled synchronization, identifier preservation and replay prevention.
Migration Orchestration
Mock migrations, environment parameters, repeatable pipelines, approval gates, cutover runbooks, notifications and execution monitoring.
How DataMove Works
Connect
Connect to applications, databases, APIs, files and content repositories.
Extract
Capture complete or incremental datasets while preserving source relationships and control totals.
Transform
Apply mappings, business rules, lookups, cleansing and target-specific derivations.
Prepare & Validate
Check formats, dependencies, mandatory fields and target requirements before submission.
Load & Synchronize
Generate target-ready packages, submit data, collect responses and selectively reprocess exceptions.
DataVault retains source, transformed and target states for lineage and reconciliation. DataLens provides progress, quality and exception analytics.
A Transformation Engine, Not Just Field Mapping
Real enterprise migrations rarely map one field to another. DataMove is built for the transformations that actually come up.
Derive a target employee identifier using country, legal entity and assignment history.
Consolidate several effective-dated source changes into one meaningful employment event.
Combine data from multiple SuccessFactors portlets into an Oracle HCM record.
Translate SAP wage types into target payroll elements or archive categories.
Exclude technical changes while correctly recalculating surrounding effective dates.
Select the latest valid attachment when earlier documents were deleted or replaced.
Generate different target formats from one standardized source dataset.
Illustrative configurable rule — not hard-coded product behavior:
If Country = "SG" and Legal Entity changes:
1. Find the applicable assignment.
2. Resolve the corresponding employee identifier.
3. Apply the country-specific mapping.
4. Generate the target record with the correct effective date.Supported Movement Patterns
| Pattern | Description | Typical Use |
|---|---|---|
| One-time migration | Full extraction and target load | ERP or HCM implementation |
| Multi-cycle migration | Repeatable mock and production runs | Enterprise transformation |
| Incremental migration | New, changed and deleted records | Cutover preparation |
| Scheduled integration | Recurring movement between systems | Ongoing synchronization |
| Multi-source consolidation | Combine several applications | Acquisitions or system consolidation |
| Multi-target distribution | Transform one source for multiple targets | Oracle, ADP and archive delivery |
| Archive extraction | Extract structured data and documents | Legacy-system retirement |
| Test-data movement | Provision controlled datasets | SyntraFlow testing |
Enterprise Application Coverage
DataMove works across the same 153+ systems Syntra ETL supports.
DataMove for SyntraETL Use Cases
Oracle Fusion Migration
Move validated data into Oracle Fusion using target-appropriate HDL, FBDI and API interfaces.
ERP Migration
Extract and transform financial, procurement, supply-chain and project data from legacy ERP platforms.
HCM and Payroll Migration
Process effective-dated worker, assignment, payroll and historical HR data.
Application Integration
Synchronize approved data between enterprise applications using scheduled or incremental pipelines.
Legacy-System Archival
Extract complete historical datasets and related documents for delivery into DataVault and the archive portal.
Move Data with DataMove. Trust It with DataVault. Understand It with DataLens.
DataMove
Move and transform data
Executes extraction, transformation and loading.
DataVault
Trust and govern data
Preserves snapshots, lineage, evidence and reconciliation.
DataLens
Analyze and understand data
Displays quality, migration and operational insights.
Security and Control
Outcomes
Frequently Asked Questions
What is DataMove?+
DataMove is the data extraction, transformation, loading and synchronization engine that powers SyntraETL. It connects to enterprise applications, databases and files, applies business transformation rules, and delivers target-ready data through one controlled platform for migrations, integrations and ongoing synchronization.
How is DataMove different from SyntraETL?+
SyntraETL is the complete enterprise migration and integration solution — the product you engage with for a migration or integration project. DataMove is the engine within SyntraETL that actually executes the extraction, transformation and loading. DataVault and DataLens are the other platform components that handle data governance and operational insight.
Which source and target systems does DataMove support?+
DataMove connects to the same enterprise applications, databases, files and cloud platforms Syntra ETL supports, including ERP, HCM, payroll and CRM systems. Individual application connectivity — for example SAP, Workday or Oracle EBS — is documented on that system's dedicated connector page, which DataMove pages link to rather than duplicate.
Can DataMove handle complex transformation rules?+
Yes. DataMove supports field mapping, conditional logic, formula-based transformations, lookups, aggregation, record splitting and consolidation, cross-record derivation and effective-dated transformations, so source structures that don't map one-to-one onto the target can still be handled through configurable rules.
Does DataMove support full and incremental migration?+
Yes. DataMove can run full-volume extraction and loading for an initial migration, and separately supports incremental and delta processing — new, changed and deleted records, watermark management and cutover deltas — for ongoing synchronization or a phased migration cutover.
Can failed records be corrected and selectively reprocessed?+
Yes. DataMove supports retry, restart and selective resubmission, so a batch that fails partway through — or individual records rejected by the target system — can be corrected and reprocessed without rerunning an entire migration cycle from the start.
Does DataMove migrate attachments and unstructured content?+
DataMove's extraction and loading capabilities extend to attachments and binary content alongside structured records, which is relevant to use cases like legacy-system archival where supporting documents need to move together with their related data.
How does DataMove work with DataVault and DataLens?+
DataMove moves and transforms the data. DataVault preserves the source, transformed and target states for lineage and reconciliation evidence. DataLens displays progress, data quality and operational insights across the migration or integration cycle. The three components work together within the SyntraETL platform.
Ready to Move Enterprise Data with Greater Control?
Discuss your source systems, target applications, data volumes and migration timeline with the SyntraETL team.