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Automated Code Translation Engine

January 5, 2018

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, including Hadoop, Spark, R and in the Cloud. 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. SHIFT is the only tool to help accelerate that journey.

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Traveloka.com

Traveloka is an Indonesian technology company based in Jakarta, Indonesia. Traveloka was founded 3 years ago by ex-Silicon Valley engineers and aims to revolutionize human mobility with technology. Today Traveloka is expanding its reach by operating in 4 countries and experimenting with new endeavors that will create large impact in the markets and industries we touch…

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whitePaper | May 1, 2023

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Logical Data Fabric

whitePaper | December 27, 2022

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Human-Proofing Sensitive Data Governance with Automated Data Classification

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

7 Trends for Data Science in 2021

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Over the last decade, interest in the field of data science has not only increased enormously, but has also changed and developed considerably. In view of the new technological advances and the constant growth of data, we expect Data Science to continue to develop strongly in 2021. We have identified 7 trends that will be relevant for the coming year.

Automated Code Translation Engine