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skip to Main Content * Support * Education * Documentation * Contact * Log In Menu * Why DataOps What is DataOps? Operationalizing data integration for constant change and continuous delivery. What Is Data Ops? What Is Data Drift? * Platform DataOps Platform Power your modern analytics and digital transformation with continuous data. Data Collector Transformer for Spark Transformer for Snowflake Control Hub Connectors DEMO Spend Less Time Fixing and More Time Doing with StreamSets Request a Demo * Pricing * Solutions StreamSets Solutions Powerful data engineering solutions for modern data integration across multiple cloud platforms. Cloud Data Lake Integration Cloud Data Warehouse Integration Power Real-time Applications Talk With StreamSets Contact Us Learn more about how StreamSets can help your organization harness the power of data. Get in Touch * Partners StreamSets Partners Use data in more ways with a modern approach to data integration. Amazon Web Services Microsoft Azure Google Cloud Platform Snowflake Databricks * Resources Resources Best practices and technical how-tos for modern data integration. Getting Started Set Up and Run Data PipelinesBuilding Data PipelinesSample Apache Spark Design PatternsPath to Power User The DataOps Blog Case Studies DataOps Summit Events Community EBOOK Data Engineers' Handbook for Snowflake 4 Cloud Design Patterns for Data Ingestion and Transformation in Snowflake Download * About Us About Us Modernizing data integration for continuous data under constant change. Careers Leadership News * Try Now * Search Search Submit 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 See All Connectors 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. 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Click Allow All to consent and continue to our site. Privacy Policy Allow All × * Why DataOps * What Is DataOps? * What Is Data Drift? * 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 * Case Studies * DataOps Summit * Events * Community * About Us * Careers * Leadership * News * Try Now * Support * Education * Documentation * Contact * Log In