ETL modernization
Modernize legacy ETL data workflows without losing business logic
PDI helps enterprises assess, convert, validate and migrate legacy ETL and data warehouse workloads from platforms such as PowerCenter, Ab Initio, SAS, DataStage, SSIS and Teradata to cloud-native architectures.
Modernization challenges
Why ETL modernization needs more than code conversion
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Hidden business logic
Legacy ETL often contains years of undocumented logic, exceptions, dependencies and downstream reporting assumptions.
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Platform lock-in
Aging ETL and warehouse platforms can slow cloud migration, increase cost and limit analytics agility.
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Migration risk
Without reconciliation and validation, teams risk broken reports, mismatched totals and loss of business confidence.
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Cloud target design
Modernization should align workload patterns to IDMC, Databricks, Snowflake, AWS, Azure, Google Cloud, Python and PySpark patterns.
PDI approach
A practical ETL modernization sequence
STEP 1
Inventory
Assess jobs, mappings, schedules, dependencies, sources, targets and transformation logic.
STEP 2
Prioritize
Group workloads into migration waves by complexity, usage, value and risk.
STEP 3
Modernize
Convert, refactor or rebuild data workflows into the right target architecture.
STEP 4
Validate
Reconcile data, compare outputs and produce evidence for business sign-off.
Source and target coverage
Modernization across common legacy and cloud platforms
PDI supports modernization paths across legacy ETL, data warehouse and cloud-native data platforms, with emphasis on preserving trusted business logic while improving scalability and maintainability.
PowerCenterAb InitioSASDataStageSSISTeradataIDMCDatabricksSnowflakeAWS GlueAzure Data FactoryPySpark
Proof point
PDI brings modernization accelerators and validation experience
PDI helps enterprises assess, modernize and validate complex data environments using accelerators such as ModernizeAgent and AssureAgent, supported by broader cloud, integration and data governance expertise.
FAQ
Common questions
What is ETL modernization?
ETL modernization is the process of assessing, refactoring, converting or rebuilding legacy data integration data workflows for cloud-native platforms and modern data architectures.
Which ETL platforms can be modernized?
Common sources include PowerCenter, Ab Initio, SAS, DataStage, SSIS, Teradata, ODI and other legacy integration or warehouse environments.
How do you reduce ETL migration risk?
Start with discovery, map dependencies, prioritize waves, validate output data, reconcile results and get business sign-off before decommissioning legacy workloads.
Start the conversation
Build a trusted data foundation for modernization, analytics and AI.
PDI helps teams move from fragmented systems to governed, scalable and business-ready data platforms.