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STREAMSETS TRANSFORMER FOR SNOWFLAKE

The first enterprise data transformation engine built on Snowpark

Request a DemoGet Started



NATIVE DATA TRANSFORMATIONS FOR THE DATA CLOUD

Never struggle again to get value out of your Data Cloud. StreamSets Transformer
for Snowflake is aimed at delivering advanced data transformation functionality
natively on Snowflake. Transformer for Snowflake is the industry’s first engine
built on Snowpark, harnessing the full power and extensibility of the Snowflake
Data Cloud.

StreamSets Transformer for Snowflake is designed for any developer or data
engineer to build ELT and data transformation pipelines that execute natively on
Snowflake.

Choose a no code approach with an intuitive design canvas or drop in code
whenever they want.

Execute in your Data Cloud to maximize performance and minimize costs

Ensure data observability across the entire lifecycle 

►


CONNECTORS

Ingest and transform data in your Data Cloud from popular destinations


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ACCELERATE YOUR DATA CLOUD DEVELOPMENT


NO CODE ELT AND BEYOND

Bring powerful data transformations for any workload to your entire team.
Transformer for Snowflake allows data engineers to go beyond SQL to express
powerful data transformation logic using an intuitive design canvas. Users can
choose a no code approach or drop in code whenever they want by applying
user-defined functions (UDFs) and third-party integrations directly to data
transformations. Transformer for Snowflake can directly invoke any Snowflake UDF
that you’ve already created or can create new Java UDF’s on the fly.

Download: Data Engineers Handbook for Snowflake


IN-PLACE TRANSFORMATIONS

Perform data transformations at all levels of complexity without moving data out
of your Data Cloud. Apply SQL or advanced functions directly to data living in
your Snowflake Data Cloud eliminating the impact of data drift or data
corruption. Eliminate the cost and security risk of moving data between
environments and monitor the state of your data at every stage of the pipeline
process with a single mission control center.

Bigspark’s Journey to Cloud Data Transformation



THE STREAMSETS DATAOPS PLATFORM

Build smart data pipelines in minutes and deploy across hybrid and multi-cloud
platforms from a single log in.

Try Now





White Paper


DATA ENGINEERS HANDBOOK FOR SNOWFLAKE


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END-TO-END DATA INTEGRATION FOR SNOWFLAKE WITH SNOWPARK


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BIGSPARK’S JOURNEY TO CLOUD DATA TRANSFORMATION




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 * Why DataOps
   
   * What Is DataOps?
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 * Platform
   
   * DataOps Platform
   * Data Collector Engine
   * Transformer Engine
   * Control Hub
   * Connectors
 * Pricing
 * Solutions
   
   * Cloud Data Lake Integration
   * Cloud Data Warehouse Integration
   * Power Real-time Applications
 * Partners
   
   * Amazon Web Services
   * Microsoft Azure
   * Google Cloud Platform
   * Snowflake
   * Databricks
 * Resources
   
   * Getting Started
     
     * Set Up and Run Data Pipelines
     * Building Data Pipelines
     * Sample Apache Spark Design Patterns
   * The DataOps Blog
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