Exploring CDC & Delta Processing in Snowflake- Real-Time Data Analytics
In Snowflake , a leading cloud-based data platform, Change Data Capture (CDC) and Delta Processing are essential features enabling organizations to capture, process, and analyze real-time data updates efficiently. Let's delve into the significance and benefits of CDC & Delta Processing in Snowflake. Snowflake Training Change Data Capture (CDC): CDC captures and tracks changes made to data in real-time, allowing organizations to identify and react to data updates instantly. In Snowflake , CDC can be implemented using streams, which capture data changes from tables and make them available for consumption by downstream processes or applications. CDC enables organizations to perform continuous analytics, detect anomalies, and trigger automated actions based on data changes. Snowflake Training in Ameerpet Delta Processing: Delta Processing, also known as Change Data Capture with Time Travel, enables Snowflake users to query data at different points in time, allowing for his