Migrating applications and datasets from one cloud data warehouse to another can be a challenge – how can you keep apps running effectively during the migration, and avoid the time and cost of ETL projects and rebuilds? And how can you ensure data schema security, data quality, and the business benefits of accelerated migration?
Meet Patch, a data management specialist that will answer these questions and more at next week’s A-Team Group Data Management Summit NYC, but first a quick preview with CEO Peter Elias and chief product officer Whelan Boyd, who cofounded Patch in 2022.
“We are taking a new approach to solving the problem of how to keep an app running efficiently and securely during cloud migration,” says Elias. Essentially, the company’s approach comprises data packages, which Elias describes as ‘the missing bridge in enterprise data architecture’ that allow applications to continue to run through a migration and data consumers to function even if data is coming from different database sources.
Boyd explains in a recent blog: “Migrations require engineers to stand up a new data system, replicate the dataset, and rewrite schema and database-specific driver code. Then, they finally retire the old data system once everything is tested in production. Refactoring the application code takes the longest, and it’s usually blocked by the actual data migration work.
“Data packages, on the other hand, decouple application code from specific data infrastructure so that a dataset can be moved to different storage systems by data teams without impacting application teams downstream.”
Commenting on the problems of migration, Elias adds: “When a migration project is blocked by data access it can take weeks to engineer a solution. Using abstraction, Patch avoids expensive and time-consuming projects.”
To date, Patch has made a partnership with SnowFlake and will train some of its teams on how to use data packages to support migration later this year. It is also pursuing similar partnerships with data storage providers including Databricks and Google BigQuery.
Meet Peter and find out more about Patch at next week’s Data Management Summit NYC.
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