Snowflake, a cloud computing-based data warehousing company, has announced its plans to bring the computer programming language Python to the forefront of its Data Cloud platform. The platform will be upgraded to extend support for the programming language.
At Snowflake Summit, an annual user conference, the database company announced the expansion of its developer framework, Snowpark. This expansion will give users easy access to many open-source Python packages and libraries.
Snowflake introduced Snowpark in January 2021 and pushed the service to general availability earlier this year. The objective of Snowpark was to provide developers with a simple and efficient way to program data in their language of choice.
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Snowflake also announced a series of related upgrades currently under development to supplement the rollout of Snowpark for Python. These include native integration with Streamlit and other facilities designed to facilitate developing and deploying machine learning products written in Python.
Moreover, the firm also announced a private preview for a new service that allows customers to access stored data in on-premise servers from within the Snowflake ecosystem. This will enable organizations to benefit from a cloud-based platform free from the hassle of data migration.
Christian Kleinerman, senior vice-president of product at Snowflake said that the company is investing in Python to make it easier for data scientists, engineers, and application developers to build even more in the Data Cloud without governance trade-offs.
He added that the company’s latest innovations are extending the value of their customers’ data-driven ecosystems, enabling them more access to data and new ways to develop in Snowflake. He added that these capabilities change how teams experiment, iterate, and collaborate with data to drive value.
