How to Implement Change Data Capture (CDC) in Snowflake in 4 Steps

Snowflake, a cloud-based data platform, offers change data capture (CDC) capabilities that allow businesses to efficiently capture and process data changes, ensuring that data-driven decisions are based on the most recent information. In this guide, we will explore how to implement CDC in Snowflake using Snowflake Streams in a few straightforward steps. Key features of Snowflake Stream include real-time change tracking, integration with Snowflake tasks, and simplified data pipelines. Implementing Snowflake CDC using Streams provides numerous advantages such as enhanced data sharing and collaboration, simplified integration with existing systems, accelerated data ingestion and processing, improved data accuracy and consistency, scalable and cost-effective data management, real-time analytics and insights, and enhanced data governance and compliance.