Snowflake

SEPTEMBER 5, 2023

We will be using three basic building blocks: Snowpark ML, the Snowpark Model Registry and Snowpark Container Services. Snowpark ML unifies data pre-processing, feature engineering, model training, and model management and integrated deployment into a single, easy-to-use Python toolkit. Here’s a technical introduction.

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Medical Python Government Datasets 117

Cloudyard

MARCH 4, 2024

Read Time: 1 Minute, 32 Second In this blog post, we will explore how to leverage Snowpark and Streamlit to build an interactive book exploration application. The combination of Snowpark and Streamlit provides a powerful platform for data exploration and visualization.

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Programming Language Python Programming Coding 52

Snowflake

NOVEMBER 20, 2023

Addressing the challenges of data-intensive apps Using the combined capabilities of Snowflake Native Apps and Snowpark Container Services, you can build sophisticated apps and deploy them to a customer’s account. For example, builders can charge customers based on functionality running as a service in a container. What’s next?

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Utilities Machine Learning AWS Coding 87

Snowflake

NOVEMBER 1, 2023

Snowflake has invested heavily in extending the Data Cloud to AI/ML workloads, starting in 2021 with the introduction of Snowpark , the set of libraries and runtimes in Snowflake that securely deploy and process Python and other popular programming languages.

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Cloudyard

FEBRUARY 19, 2024

Read Time: 1 Minute, 42 Second In this blog post, we’ll delve into a practical example that showcases the prowess of Snowpark by processing customer invoice data from a CSV file and handling credit card details from a JSON source. Leveraging Snowpark’s functionalities, the data will read and transform seamlessly.

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Snowflake

NOVEMBER 1, 2023

Securely manage and deploy full-stack applications with Snowpark Container Services Snowpark Container Services, public preview soon in select AWS regions, makes it easy for developers to deploy, manage and scale containerized workloads – all with Snowflake’s secure and fully managed infrastructure. Let’s dive in!

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Ascend.io

OCTOBER 4, 2023

Snowflake is renowned for its vast capabilities, and Snowpark is no exception. Snowpark stands out as a game-changer for data engineers. When you pair Snowpark with Ascend, the landscape changes entirely. This entails loading data from particular tables into Snowpark DataFrames.

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Snowflake

FEBRUARY 14, 2023

With Snowpark , our customers have begun to leverage Snowflake for more complex data engineering and data science workloads using languages such as Java and Python. To support these workloads in production, we’re excited to launch Snowpark-optimized warehouses in general availability in all Snowflake regions across AWS, Azure, and GCP.

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Ascend.io

SEPTEMBER 5, 2023

The introduction of Snowflake Snowpark is yet another leap forward, transforming data warehousing and revolutionizing the way customers engage with this platform. What Is Snowflake Snowpark? Snowpark is a library equipped with an API that developers can use for querying and processing data within the Snowflake Data Cloud.

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Snowflake

MARCH 21, 2023

Solutions that unify tools and infrastructure for SQL and Python These complexities are solved by using Snowflake’s Snowpark, which allows execution of multiple languages on a single platform. Learn how to get started with dbt and Snowpark. Learn how to get started with Hex and Snowpark. Ready to learn more?

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Snowflake

JUNE 7, 2023

And now with Snowpark we have opened the engine to Python, Java, and Scala developers, who are accelerating development and performance of their workloads, including IQVIA for data engineering, EDF Energy for feature engineering, Bridg for machine learning (ML) processing, and more. Snowpark just works!

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Snowflake

JUNE 1, 2023

You’ll be able to easily build and deploy ML models with Snowpark , Snowflake’s secure deployment and processing of non-SQL code, and then quickly turn those models into apps with Snowflake’s native integration of Streamlit (currently in private preview)—our open source, pure-Python app development framework. What’s next?

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Snowflake

AUGUST 24, 2023

Enter Snowpark — bringing data processing to the next level in the same Snowflake environment Goodrich, and the data engineering team wanted to work with Python as their programming language of choice for easier testing and better speed and velocity for research and development.

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Data Pipeline Python Programming Language Data Validation 52

Monte Carlo

AUGUST 31, 2023

Realizing our tech debt bill had come due, we decided to seize the opportunity to create a more robust feature store with Python in Snowpark. However, a growing customer base and data science team made it the right time for us to create a more robust feature store/layer by leveraging Python and Snowpark. Here’s how and why we did it.

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Snowflake

MAY 30, 2023

The company relies on data science initiatives, powered by Snowpark for Snowflake and Coalesce , to make it happen. The data team had spent six months attempting to manually convert PySpark scripts that were run on EMR to PySpark scripts that could be run in Snowpark, making barely any progress.

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Snowflake

JUNE 27, 2023

To make it easier to bring full-stack apps, LLMs and other sophisticated data products to the data securely, Snowpark Container Services, now in private preview. This flexibility in programming language and hardware further expands the scope of AI/ML and App workloads brought to Snowflake data using Snowpark.

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Scala Programming Language Data Science Python 57

Snowflake

JUNE 28, 2023

Since its launch two years ago, Snowpark has been empowering data scientists, data engineers, and application developers to streamline their architectures, accelerate development, and boost the performance of data engineering and ML/AI workloads on Snowflake. General platform updates Multiple Python Version 3.9 & 3.10

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Snowflake

APRIL 18, 2023

Snowpark, Snowflake’s developer framework, empowers Bridg to pull in common data science and Python packages, unavailable through SQL, to develop proprietary models. Using Snowpark, Bridg developed a statistical model that consolidates data sources and makes decisions.

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Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Using Snowpark runtimes and libraries, you can securely deploy and process Python, Java and Scala code to build pipelines, ML models, and applications in Snowflake.

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Snowflake

JANUARY 16, 2024

In the final month of 2023, Snowflake released features around Snowflake Cortex functions, Snowpark ML, cost management and more. This launch expands the Python API’s capabilities to include Tasks/DAGs, Snowpark Container Services, warehouses, databases, tables and schema. Learn more about functionality and region availability here.

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Python SQL Machine Learning AWS 98

Snowflake

APRIL 8, 2024

Snowflake Native Apps (generally available on AWS and Azure, private preview on GCP) and Snowpark Container Services (currently in public preview) were exceptionally popular, which speaks to their flexibility, ease of use and business value. Our sincere thanks go out to everyone who participated in this year’s competition.

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Snowflake

FEBRUARY 13, 2024

Snowflake kicked off 2024 with exciting releases, including Snowpark Model Registry, Streamlit in Snowflake for Azure, and new enhancements around security features in Snowflake Horizon. Data scientists and ML engineers using the Snowpark Model Registry can securely manage and execute AI/ML models in Snowflake, regardless of origin.

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Data Ingestion AWS Python Metadata 82

Snowflake

OCTOBER 23, 2023

Snowflake customers are already harnessing the power of Python through Snowpark , a set of runtimes and libraries that securely deploy and process non-SQL code directly in Snowflake. Every day, we witness approximately 20 million Snowpark queries² driving a spectrum of data engineering and data science tasks, with Python leading the way.

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Python Cloud Data Science Data Architecture 138

Snowflake

APRIL 4, 2024

Coalesce automatically generates Snowflake-native SQL and supports Snowflake data engineering features such as Snowpark , Dynamic Tables , AI/ML capabilities , and more. Coalesce will also lean into Snowpark Container Services and the Snowflake Native App Framework to provide a seamless user experience.

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Snowflake

NOVEMBER 1, 2023

Snowpark Container Services: This additional Snowpark runtime (available in public preview soon on select AWS regions) enables developers to effortlessly deploy, manage and scale custom containerized workloads and models for tasks such as fine-tuning open-source LLMs using secure Snowflake-managed infrastructure with GPU instances.

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Government SQL AWS Database 97

Snowflake

DECEMBER 5, 2023

And with Snowpark Container Services (coming to public preview soon in select AWS regions), they’ll have full flexibility in terms of running inference with any open-source model, and will be able to fine-tune foundation models based on proprietary data in a matter of hours, significantly reducing the time to value.

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Snowflake

APRIL 17, 2024

They can effortlessly leverage the power of Python for a seamless, unified experience across Snowflake workloads encompassing data engineering, Snowpark, machine learning and application development. The API allows you to create, delete and modify tables, schemas, warehouses, tasks and much more.

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Hevo

JULY 18, 2023

Traditionally, when working with Spark workloads, you would have to run separate processing clusters for different languages. Capacity management and resource sizing are also a hassle. Snowflake addressed these problems by providing native support for different languages.

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Snowflake

JULY 19, 2023

This blog series covers how to run, train, fine-tune, and deploy large language models securely inside your Snowflake Account with Snowpark Container Services This year there has been a surge of progress in the world of open source large language models (LLMs). Then build and push this container to your Snowpark image registry.

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Snowflake

SEPTEMBER 13, 2023

In August, Snowflake released new features around Snowpark for Python, DevOps, pipeline replication, and more. Snowpark Python Updates Snowpark support for Python 3.9 in Snowpark are now generally available, including support for UDFs , UDTFs, and stored procedures.

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Python SQL Data Pipeline Data Ingestion 76

Snowflake

AUGUST 8, 2023

Our new Snowpark Container Services , currently in private preview, together with NVIDIA AI, makes this possible. Snowpark Container Services: Running NVIDIA GPU compute inside Snowflake Our new Snowpark Container Services feature enables you to run Docker containers inside Snowflake, including ones that are accelerated with NVIDIA GPUs.

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Monte Carlo

JUNE 30, 2021

Monte Carlo , the data reliability company, today announced their integration with Snowpark, the new developer experience for Snowflake, the Data Cloud company. Availability Monte Carlo’s Snowpark and Java and Scala UDF integrations will be available for public preview starting July 1, 2021. At Monte Carlo, security runs in our DNA.

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Snowflake

OCTOBER 30, 2023

With Event Tables, developers can instrument logs and traces from their UDFs, UDTFs, stored procedures, Snowflake Native Apps and Snowpark Container Services, then seamlessly route them to a secure, customer-owned Event Table. When working with Snowpark UDFs, some of the logic can become quite complex.

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Snowflake

JUNE 28, 2023

A key highlight at this year’s Summit, is all the innovation enhancing and expanding Snowpark libraries and runtimes developers can use to deploy and process your non-SQL code even easier and more secure. To make it even easier to process data with Snowpark Python UDFs and Stored Procedures, we have added support for Python 3.9

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Snowflake

MARCH 5, 2024

Through this next phase of partnership, customers will be able to leverage Landing AI’s computer vision capabilities natively on Snowflake via Snowpark Container Services and Snowflake Native Apps.

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Snowflake

MARCH 19, 2024

Snowpark can be used to further enrich and validate data. Data then is used for transformation with business logic and/or machine learning training with Snowpark. You can optionally use Dynamic Tables (currently in public preview) for aggregating and materializing the aggregated results.

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Snowflake

DECEMBER 12, 2023

Snowpark Python Updates Snowpark external access – public preview Snowpark external access, now in public preview on AWS and Azure regions, provides flexibility to reach public internet endpoints from Snowpark without any additional infrastructure setup. Learn more here. Learn more here. Learn more here.

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