Snowflake Shapes the Future of Data Science with Python Support – Business Wire

No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the Data Cloud company, today announced at its Snowday event that data scientists, data engineers, and application developers can now use Python - the fastest growing programming language1- natively within Snowflake as part of Snowpark, Snowflakes developer framework. With Snowpark for Python, developers will be able to easily collaborate on data in their preferred language. At the same time, they can leverage the security, governance, and elastic performance of Snowflakes platform to build scalable, optimized pipelines, applications, and machine learning workflows. Snowpark for Python is currently in private preview.

Developers want flexibility when working with data, simpler environments that require less administrative work and maintenance, and immediate access to the data they need. Snowpark brings the programming languages of choice for data to Snowflake. With Snowpark, developers can unlock the scale and performance of Snowflakes engine and leverage native governance and security controls built-in to Snowflakes easy-to-use platform. In addition to Java and Scala, Snowpark now supports Python, allowing users to have different languages and different users all working together against the same data with one processing engine, without needing to copy or move the data.

As a result of the recently announced partnership with Anaconda, Snowflake users can now seamlessly access one of the most popular ecosystems of Python open source libraries, without the need for manual installs and package dependency management. The integration can fuel a productivity boost for Python developers. Snowflakes recently launched Snowpark Accelerated Program also supports customers with access to numerous pre-built partner capabilities and integrations, from directly within their Snowflake account.

With Snowpark for Python, data teams can:

Novartis, the multi-national healthcare company that provides solutions to address the evolving needs of patients worldwide, needed a way to empower their global team of analysts and data scientists with a powerful data platform that would reduce data preparation time and provide self-service capabilities for building models and running analytics.

Novartis mission is to reimagine medicine to improve and extend people's lives, and to do so successfully today we need to leverage digital technologies that continue to put data and data science at the center of our transformation, said Loic Giraud, Global Head of Digital Platform & Product Delivery at Novartis. As a progressive, data-driven life-science organization, the flexibility and scale of Snowflakes Data Cloud allows us to accelerate our pace of knowledge through data interpretation and insight generation, bringing more focus and speed to our business. Bringing together all available data ultimately unlocks more value for our employees, patients, and health care providers, and data science innovations help us realise this goal."

Snowflake has long provided the building blocks for pipeline development and machine learning workflows, and the introduction of Snowpark has dramatically expanded the scope of whats possible in the Data Cloud, said Christian Kleinerman, SVP of Product at Snowflake. As with Snowpark for Java and Scala, Snowpark for Python is natively integrated into Snowflakes engine so users can enjoy the same security, governance, and manageability benefits theyve come to expect when working with Snowflake. As we continue to focus on mobilizing the worlds data, Python broadens even further the choices for programming data in Snowflake, while streamlining data architectures.

Learn More:

Forward-Looking Statements

This press release contains express and implied forwarding-looking statements, including statements regarding the availability of Snowpark for Python. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading Risk Factors and elsewhere in the Quarterly Report on Form 10-Q for the fiscal quarter ended July 31, 2021 that Snowflake has filed with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forwarding-looking statements as predictions of future events.

About Snowflake

Snowflake enables every organization to mobilize their data with Snowflakes Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 212 of the 2021 Fortune 500 as of July 31, 2021, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

1According to SlashData, Developer Economics: State of the Developer Nation 20th Edition.

Read more:

Snowflake Shapes the Future of Data Science with Python Support - Business Wire

Related Post

Comments are closed.