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Reliable Data Processing Made Simple

Transform, prepare, and enrich data where it lives 

NEW WHITE PAPER

Processing Modern Data Pipelines

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Snowflake’s Data Cloud offers a powerful processing engine – decoupled but deeply integrated with your data – to quickly and reliably process a near-unlimited volume of data with your language of choice. As a fully-managed service, Snowflake automatically handles scaling and performance tuning, so data engineers and data scientists can focus on building scalable data pipelines with SQL and Snowpark.

 

WELCOME TO SNOWPARK

Use Python, Java or Scala with familiar DataFrame and custom function support to build powerful and efficient pipelines, machine learning (ML) workflows, and data applications. And gain the performance, ease of use, governance, and security while working inside Snowflake’s Data Cloud. 

Learn more about Snowpark

Eliminate Redundant Data Processing Image-Work

Eliminate redundant data processing 

  • Process data once and make it available for your analytical use cases including BI, advanced analytics, and machine learning
  • Make prepared data sets easily accessible, internally and beyond your organization, with modern data sharing through private exchanges or via Snowflake Data Marketplace
  • Improve productivity with instant access to live, curated, ready-to-query data, for you to enrich as needed

Read how Petco reduced data processing from 4 hours to 10 min >

Minimal Complexity Image-Work

Build how you want with minimal complexity

  • Develop flexible data pipelines with support for the most popular programming languages, such as Scala, Python and Java
  • Write code in your Independent Development Environment (IDE) of choice and execute data processing in Snowflake with pushdown capabilities 
  • Minimize the complexity of having to manage additional environments to run non-SQL data pipelines

Watch this session to dive deeper into Snowpark for Python >

Execute with Speed Image-Work

Execute with speed and reliability

  • Enable efficient data processing, with automatic micro-partitioning and data clustering
  • Instantly support nearly any number of users or jobs with auto-scaling policies on multi-clustered workloads
  • Automatically scale, suspend, and resume workloads to meet your processing demands in the most cost-effective ways

See how Pacific Life is getting 1,800X faster
query performance for data science >

snowpark accelerated program

SNOWPARK ACCELERATED

Discover how more than 50 partners are enhancing the experience of data engineers, data scientists, and developers with Snowpark.

Learn More

Resources

Video

Data Pipeline Processing With Snowflake

In today's video, Torsten Grabs, Director of Product Management for Snowflake, talks with our host Daniel Myers,…

Watch Now
Whitepaper

Processing Modern Data Pipelines

This white paper describes the technical challenges that arise when building modern data pipelines and explains how Snowflake…

Download Now
On-Demand Webinar Imagework
Dev Resources

Build your own pipelines and applications with Snowpark

Quickstart
Key principles for running performant data pipelines at scale Imagework
On-Demand Webinar

Key principles for running performant data pipelines at scale

Watch Now

GET STARTED WITH SNOWFLAKE

START FOR FREE

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