Skip to main content

Enterprise Migration

Replace legacy ETL infrastructure with modern, edge-native data pipelines.

The Challenge​

Enterprise data teams face a common problem:

  • Legacy ETL tools (DataStage, Informatica, SSIS) with expensive licensing
  • Mainframe databases (DB2, IMS, VSAM) that need cloud migration
  • Compliance requirements that demand data stays on-premise during transformation
  • Skills gap as ETL specialists retire

The Solution​

Expanso pipelines run at the edge—on or near your data centers—providing:

✅ No license fees - Flat-rate pricing, unlimited nodes
✅ Data sovereignty - Transform before data leaves your network
✅ Modern tooling - YAML configs, GitOps deployment, API-first
✅ Gradual migration - Replace one job at a time, not big bang

Examples​

DB2 to BigQuery Migration​

Replace DataStage ETL with edge-native processing for migrating financial transactions.

What you'll learn:

  • Replace DataStage Lookup/Transformer stages
  • Add automatic lineage tracking
  • Mask sensitive data at the edge
  • Deploy to nodes near your DB2 servers

Time: 45-60 minutes

Nightly Backup Pipeline (coming soon)​

Secure, incremental backups from enterprise databases to cloud storage.

What you'll learn:

  • Incremental extraction patterns
  • Compression and encryption at rest
  • Multi-cloud destination support
  • Recovery verification

Cross-Border GDPR Routing​

Route data to region-appropriate destinations based on customer location.

What you'll learn:

  • Geographic data classification
  • Region-specific transformation rules
  • Audit logging for compliance

Migration Patterns​

Pattern 1: Shadow Mode​

Run Expanso alongside existing ETL to validate output before cutover.

DB2 → DataStage → BigQuery (production)
   └→ Expanso   → BigQuery_test (validation)

Pattern 2: Gradual Replacement​

Migrate one job at a time, starting with lowest-risk pipelines.

Week 1: Migrate reporting extracts
Week 2: Migrate dimension loads  
Week 3: Migrate fact tables
Week 4: Decommission DataStage server

Pattern 3: Edge-First New Development​

Keep legacy jobs running, build all new pipelines on Expanso.

Legacy jobs → DataStage (maintenance mode)
New jobs    → Expanso (active development)

Getting Started​

  1. Choose an example that matches your migration scenario
  2. Set up a test environment with sample data
  3. Run shadow mode to validate against existing ETL
  4. Deploy to production when confident