Netezza Migration Toolkit

Move to the Cloud Fast and Reliably

The time to upgrade from Netezza is now

Our migration toolkit simplifies and accelerates the data and workload migration process. From migrating your data without writing ETL; to translating your existing code schemas to modern cloud programming so your business can keep working without losing a beat.

At Next Pathway, our EDW migration tools helps companies accelerate their migrations, and do so in a way to maintain governance of the data with minimal impact to routine business processes.

Our toolset is comprised of two products we call Cornerstone and SHIFT.

Cornerstone is our metadata-driven ingestion engine, which connects to your EDW to ingest into the cloud, including Google Cloud Platform, using metadata to automate the process.

Cornerstone also uses the metadata to automate security classifications, including encryption and tokenization, and lineage capture. This all happens automatically. No developers, no coding, and no ETL.

Once your data is loaded, we then deploy SHIFT to translate and migrate all of the legacy schema, SQL, and application logic to the modern language best suited for your Cloud environment. This includes Apache Spark, but also cloud native products, including Google’s Big Query.

SHIFT automates up to 80% of this translation, and integrates natively into company’s run time environments.  

Our tools allow companies to have confidence in their EDW migration and get them up and running in the cloud faster, while providing companies incremental cost savings throughout the migration, until your legacy EDW can be turned off once and for all.

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Lessons Learned Migrating from Netezza

White Paper
Many companies have been here before; faced with the uncertain future of Netezza and an ever-growing need to capitalize on Big Data. We’ve distilled our customer’s experiences migrating from Netezza to Big Data Open Source environments, to bring you proven steps and tools we’ve developed over the years to make your migration as seamless as possible.