Change Data Capture (CDC) pipelines on AWS have become the backbone of modern data warehousing strategies, enabling organizations to maintain near real-time analytics capabilities without overwhelming source databases. By combining Amazon S3 as a data lake, AWS Glue for transformation and cataloging, and Amazon Redshift for analytics, you can build a scalable CDC pipeline that … Read more
Change Data Capture (CDC) has become essential for modern data architectures that require real-time or near-real-time data synchronization. Rather than replicating entire tables repeatedly, CDC identifies and captures only the changes—inserts, updates, and deletes—dramatically reducing data transfer volumes and enabling incremental updates. Fivetran simplifies CDC implementation by handling the complexity of log-based replication, transformation, and … Read more
The modern machine learning landscape demands fresh, accurate data to power intelligent applications. As organizations scale their ML operations, the challenge of keeping feature stores synchronized with rapidly changing operational data becomes increasingly complex. Change Data Capture (CDC) for ML feature stores emerges as a critical technology that bridges the gap between real-time data streams … Read more
