# ROAD Data Migration

Move and modernize your data fast — with traceability, repeatability, accuracy, ensure privacy and implement governance.

# What is ROAD Data Migration?

ROAD Data Migration is a powerful, enterprise-grade solution designed to handle complex data migrations and transformations across systems. It supports a wide range of structured data sources including Oracle, SQL Server, Postgres, MySQL, Db2, and more.

See ROAD in Action [Download the ROAD Guide](https://ebook.infocorvus.info/)

## Why Choose ROAD for Data Migration?

### No code/Low code automated data movement across systems

### Performance and scalability for modern enterprises

### Fully integrated platform with multiple use cases

### Enterprise-grade security

### Flexible ETL/ELT engine

Supports on-premise and multi-cloud deployments

### Plug-in architecture for custom logic (extensibility)

### Full audit and governance

### Metadata-driven orchestration

See ROAD in Action [Download the ROAD Guide](https://ebook.infocorvus.info/)

## Business Challenges

Here are the problems that Data Conversion can tackle, both from a business and technical perspective.

### Obsolete Data Structures Don't Match Modern Applications

- Legacy systems use outdated schemas (flat files, hierarchical DBs, COBOL copybooks, VSAM, DB2, PeopleSoft tables, etc.) that don't align with relational or cloud-native models.
- Conversion remaps these old schemas into modern relational, object-based, or API-driven formats.

### Different Data Models Between Old and New Systems

- Modern applications (ERP, CRM, HR, SaaS platforms) expect data in entirely new structures.
- Conversion handles field mapping, normalization/denormalization, and reference data translation so legacy data fits the target app cleanly.

### Data Quality Issues in Legacy Systems

- Legacy databases often contain duplicates, incomplete values, or inconsistent codes.
- Conversion cleanses, validates, and standardizes data before loading into the new application.

### Incompatible Encoding and Formats

- Older systems may store data in EBCDIC, proprietary encodings, or formats unsupported by modern platforms.
- Conversion translates them into UTF-8, JSON, XML, or other modern-friendly formats.

### Historical Data Migration Requirements

- New applications often require selected history (e.g., last 7 years of transactions) while the rest is archived.
- Conversion separates and transforms data based on retention/business rules, ensuring modern apps only get relevant, compliant history.

### Risk of Data Loss or Corruption During Migration

- Direct dumps from legacy to modern systems often fail due to mismatched constraints or missing validation.
- Conversion enforces reconciliation, validation checks, and audit trails to ensure accuracy.

### Integration into Modern Ecosystems

- Modern applications rely on APIs, real-time data, and event-driven integrations.
- Conversion prepares data to align with these interfaces, so legacy data isn't left behind.

### Business Disruption During Cutover

- Organizations fear downtime when switching from legacy to modern apps.
- A structured conversion solution allows staged migrations, pilot loads, and parallel runs to minimize risk.

# Two-Step Data Migration Process

ROAD follows a streamlined two-step approach to ensure efficient, secure, and accurate data Migration, especially useful for ERP-to-ERP migrations.

## Step 1: Data Extraction & Load to Staging

Data is extracted directly from JDBC-supported sources with high throughput and minimal downtime. The extracted data is loaded into a centralized staging area without transformations, ensuring a clean, auditable snapshot of the source.

### Staging Area

No Transformations Yet

PostgreSQL

## Step 2: TRANSFORM & LOAD TO TARGETS

Within the staging environment, ROAD applies transformations such as masking, encryption, enrichment, and data quality checks. Once validated, the data is delivered in CSV or excel or compressed CSV format. The target application can then read from.

### Staging Area

No Transformations Yet

Parquet

Avro

See ROAD in Action [Download the ROAD Guide](https://ebook.infocorvus.info/)

# Two-Step Data Migration Process

ROAD follows a simple two-step approach to ensure efficient and accurate data migration for ERP migrations.

## Step 1: Data Extraction

Data is extracted from JDBC-supported sources and loaded into a secure staging area for audit-ready snapshots.

### Staging Area

No Transformations Yet

PostgreSQL

## Step 2: Transform & Load

ROAD applies masking, encryption, and validation before delivering data in multiple formats for target systems.

### Staging Area

Transformations Applied

Parquet

Avro

See ROAD in Action [Download the ROAD Guide](https://ebook.infocorvus.info/)

## Key Benefits

- Minimizes disruption to source systems
- Enables multiple dry runs without impacting production
- Guarantees consistent transformations with full audit trails
- Future-proof design with extensible target support
- Workflows run in dev or production mode, with data masking in dev.
- Defined source-to-target workflows are reusable—ideal for system integrators.