SHIFT automates the conversion and translation of legacy code when moving to Big Data environments
SHIFT is an automated code translation engine that automates the conversion of legacy code into various target languages, to run natively inside of Big Data environments.
SHIFT can accelerate the translation of up to 80% of the most complex code, and the output is always consistent, ensuring compliance with industry coding standards.
SHIFT allows organizations to minimize the cost and manual effort involved in many migration-oriented projects, including decommissioning and migrating an enterprise data warehouse to a data lake, source system rationalization, or modernizing legacy ETLs.
SHIFT supports several different source and target languages, and based on its continuous learning functionality, it increases the scope of automation over time.
Whether deploying on Spark, Hadoop, or R, SHIFT is the only tool to help accelerate that journey.
Automation of code translation based on user-defined target languages
Removes the dependence
Removes the dependence on resources that require knowledge of both source and target languages
Enforcement of governance by ensuring all code is translated based on industry standards, providing a consist delivery of defect-free code