Data Engineers' Handbook for Snowflake

Trusted By:

4 Cloud Design Patterns for Data Ingestion and Transformation in Snowflake

Every day, more systems move to the cloud. Integration can be a challenge (to put it mildly). But using Snowflake and StreamSets can make it much easier.

Here’s a handbook with 4 key data pipelines that make data ingestion and transformation in the Snowflake Data Cloud a breeze.

Download the Data Engineers' Handbook for Snowflake and learn how to simply:
  • Ingest Data to the Data Cloud Platform
  • Do Change Data Capture from Legacy to Data Cloud Platform
  • Stream Files into Snowflake Data Cloud using Kafka
  • Conduct native ELT on Snowflake Data Cloud with Snowpark

No Email Required

See What Clients Are Saying About Us

Quality of Service and Fraud Protection

“RingCentral can now address quality of call service in real-time allowing us to make immediate adjustments to the network and carriers.”

Michael Becker Senior Director of Big Data, RingCentral
Quality of Service and Fraud Protection

“StreamSets technologies and DataOps practices allow us to deliver the business outcomes that we're focused on and make an impact on the people we serve every day.”

Anne-Britton Arnett VP, Information Management and Analytics, Humana
AI at Enterprise Scale

“StreamSets allows me to provide stable, sustainable data operations on top of both a self-service and professional platform and to operate this at scale.”

Dan Jeavons GM of Data Science, Shell