Snowflake Now Supports Python – The Fastest Growing Programming Language – Women Love Tech

When the US company, Snowflake, started nine years ago, its founders built a data solution to harness the power of the cloud. They created the Data Cloud a global network where organisations could mobilise their data on a virtually unlimited scale. This meant organisations no longer needed a number of data silos scattered throughout their offices and subsidiaries they could use Snowflake instead because of its sheer scale.

Today, Snowflake announced it now supports Python the fastest growing programming language within Snowflake as part of Snowpark, Snowflakes developer framework. This will mean developers can collaborate on data in their preferred language. At the same time, they can leverage Snowflakes platform to build scalable, optimised pipelines, applications, and machine learning workflows.

Snowpark still supports Java and Scala, 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. This helps developers because it gives them flexibility and a simpler environment which requires less administrative work and maintenance.

SVP of Product at Snowflake Christian Kleinerman said: 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.

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 mobilising the worlds data, Python broadens even further the choices for programming data in Snowflake, while streamlining data architectures, Kleinerman added.

Canvas Head of Platforms says its easier to grow with Snowflake

At a media launch for Snowpark for Python this week, Canvas Head of Data Platforms Greg Roodt said Canva is taking advantage of the technologies Snowflake provides. He said Canva had previously been with a platform with fixed costs and this became difficult as Canva grew in size so quickly: Canva has obviously grown tremendously, said Roodt.

Our rate of growth is high but Snowflake supports us we dont have those awkward conversations we used to with our previous vendor, Roodt said. With Snowflake were able to pay for what we use and keep adding to that if we need more capacity.

Novartis works with Snowflake

Global Head of Digital Platform & Product Delivery at Novartis Loic Giraud said theyre using Snowflake because: 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.

With Snowpark for Python, data teams can:

New developments within Snowflake include:

About Snowflake: Snowflake enables organisations to mobilise their data with Snowflakes Data Cloud. Customers use the Data Cloud to unite siloed data, discover and share data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a data experience that spans multiple clouds and geographies. You can find out more at snowflake.com or sign up for Snowflakes SnowDay event to hear about the latest advancements in the Data Cloud in keynotes, expert deep dives, and customer sessions.

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