Explores change-driven architecture on Azure using Drasi to replace polling with Change Data Capture for real-time, efficient data processing.
Explores SQL Server 2025's Change Event Streaming (CES), a feature for real-time data change streaming to Azure Event Hubs.
How AI-assisted reverse engineering helps companies understand and modernize critical legacy systems that have become 'black boxes'.
Best practices for managing PostgreSQL replication slots to prevent WAL bloat and ensure reliable CDC pipelines in production.
Best practices for managing PostgreSQL replication slots to prevent WAL bloat and ensure reliable CDC pipelines in production.
A monthly roundup of curated links and articles on data engineering, Kafka, CDC, stream processing, and AI/ML topics.
Explores methods for ingesting Debezium CDC events from Kafka into Apache Flink using different SQL connectors and data formats.
A technical guide exploring different Flink SQL connectors and formats for ingesting and processing Debezium CDC events from Apache Kafka topics.
An overview of Apache Flink CDC, its declarative pipeline feature, and how it simplifies data integration from databases like MySQL to sinks like Elasticsearch.
Explains how Postgres 17 introduces built-in failover replication slots, improving high availability for logical replication and CDC tools like Debezium.
Debezium, an open-source Change Data Capture platform, is moving to the Commonhaus Foundation to ensure a neutral, community-driven future.
Debezium, an open-source Change Data Capture platform, is moving to the Commonhaus Foundation to ensure a neutral, community-driven future.
A former Debezium lead argues that Change Data Capture (CDC) is a feature within larger data platforms, not a standalone product.
A former Debezium lead argues that Change Data Capture (CDC) is a feature within larger data platforms, not a standalone product.
Explores the core reasons for using Change Data Capture (CDC) to extract data from operational databases for analytics and other applications.
Explores three types of data change events in Change Data Capture (CDC): Full, Delta, and Id-only events, detailing their structure and use cases.
Explores a taxonomy of data change events in CDC, detailing Full, Delta, and Id-only events and their use cases.
Explores using Debezium for Change Data Capture from Postgres 16 stand-by servers and managing replication slots during failover.
Explains how to use Debezium for CDC from Postgres 16 stand-by servers and manage logical replication slots during failover.
Explores PostgreSQL 16's new feature for logical replication from standby servers, covering setup, benefits, and integration with CDC tools like Debezium.
