An automation suite that modernizes legacy environments to the IBM Cloud Pak for Data fabric eliminating the effort, cost, and risk of manual IBM DataStage rewrites. It's the engine behind the trusted data foundation every AI initiative depends on.
Automated Server to Parallel and Parallel to Parallel conversion that accelerates job migration on an aggressive timeline.
Export current IBM DataStage jobs pointing to existing on prem data sources.
Load the IBM DataStage files into the nFolks Data Accelerators application.
Accelerators prepare migration job files, replacing existing targets with the new cloud target.
Automated data validation compares input and output jobs for full integrity.
Deploy DataStage projects across IBM Cloud Pak for Data environments using automated packaging, configuration, and promotion workflows.
Extract technical metadata, dependencies, and lineage from DataStage environments to simplify migration planning and documentation.
Automatically analyze Control-M schedules to identify job dependencies, execution flows, and migration sequencing before
Analyze runtime statistics, job activity, and SLA-critical workloads to optimize migration planning and production readiness.
Identify hard-coded values, file paths, notification settings, and configuration dependencies that require remediation before migration.
Modernize DSJOB commands, Control-M scripts, and operational utilities into reusable CPDCTL-based workflows for Cloud Pak for Data.
The Data Accelerators remain nFolks' flagship product line for trusted data modernization. The AI Practice extends that same accelerator mindset into reusable connectors, workflow templates, semantic layer blueprints, and domain specific agentic solutions.
Pre built patterns reduce time to value for common enterprise workflows, integrations, notifications, and approval paths.
Reusable structures help teams expose business meaning safely to agents and AI applications without starting every project from scratch.
Specialized accelerators target high value use cases in BFSI, customer support, and other knowledge intensive operations.
Rewriting IBM DataStage jobs and Universe functions during a migration or upgrade demands rare skills, long timelines, and significant cost with real risk to data integrity.
nFolks Data Accelerators automate this work, running conversion workflows that ensure data integrity and quality while taking the guesswork away. Demonstrated on difficult IBM Cloud Pak for Data and IBM DataStage legacy assets and integral to many successful IBM Expert Labs engagements.
The nFolks solution gives teams confidence in every migration and competitive replacement proven tooling and an automation first approach that take the risk out of change.
Automated workflows compress projects that would otherwise take months of manual rewriting.
Automation removes repetitive manual work, delivering significant savings on effort and budget.
Built in validation compares source and target so data quality is never left to chance.
Short walkthroughs of nFolks Data Accelerators automated conversion and validation, end to end.