Netezza to Snowflake Migration
Netezza was an innovative platform in it’s day, but today it can’t compete with the just-in-time elastic compute capabilities offered by Snowflake. Additionally, many IBM customers are seeing their deployments forced into an “end of life” state. Whichever the scenario, customers are seeking to exit Netezza/IBM in favor of the operational agility offered by Snowflake. However, making such a move is not something to just “throw bodies at”, like traditional Systems Integrators would recommend.
Taking on a Netezza migration to Snowflake requires pattern-based automated accelerators which are made for such a task. In our Netezza to Snowflake migrations, Intricity has developed these accelerators which massively reduce the labor and time to completion. By breaking up the accelerators into nimble automations, Intricity’s development team can iterate through the complexities between the two platforms in a manageable consulting services engagement.
Strategic Analysis of Complexity
This engagement starts with a short strategic assessment of the migration effort, which includes a detailed scan of the client's current Netezza footprint and any associated Integration to categorize levels of complexity and pattern reuse. This produces Empirical Counts and Complexity Levels for converting:
- Stored Procedures
- ETL Jobs
- Orchestration Jobs
- Shell Scripts
Additionally, Intricity reviews downstream impacts on analytical applications and information consumption needs. This work effort is encapsulated in a short one-week engagement. The end result is a planned and fully costed migration along with a detailed breakdown of the complexity levels to be migrated.
With this effort empirically defined Intricity can effectively provide options on whether the migration effort should take a “lift and shift” approach, a phased migration, or a re-architecting of the solution architecture. Having this knowledge is key to reducing the risk and costs as much as possible, as well as maximize the benefits of cloud computing with Snowflake.
Once the strategic analysis has completed, the development team sets up a migration factory by separating the identified patterns and prioritizing them. Then Intricity iterates through the prioritized patterns with its automated accelerators through a controlled migration process. This process ensures that both patterns as well conversion code are continuously updating as the migration proceeds, thus the speed of conversion accelerates over the course of the project.
Intricity conducts this process for ETL Packages, Shell Scripts, Tables, Views, Stored Procedures, and Functions. At the end of this migration process your organization emerges with a completed conversion to Snowflake, enjoying all the operational benefits of just-in-time cloud elasticity for your data integration and warehousing.
To review the Intricity migration from Netezza to Snowflake in more detail reach out to firstname.lastname@example.org review your specific use case.