Abstract Algorithms

cdc

4 articles across 3 sub-topics

Change Data Capture Pattern: Log-Based Data Movement Without Full Reloads

TLDR: Change data capture moves committed database changes into downstream systems without full reloads. It is most useful when freshness matters, replay matters, and the source database must remain the system of record. TLDR: CDC becomes production-...

Mar 13, 2026•15 min read

Big Data Architecture Patterns: Lambda, Kappa, CDC, Medallion, and Data Mesh

TLDR: A serious data platform is defined less by where files are stored and more by how changes enter the system, how serving layers are materialized, and who owns quality over time. Lambda, Kappa, CDC, Medallion, and Data Mesh are patterns for makin...

Mar 13, 2026•15 min read

Change Data Capture(1)

Change Feed vs Change Stream: CDC Internals, Reliability, and When to Avoid Each

In the summer of 2023, the platform team at a fast-growing e-commerce company was handling 100,000 orders per day across three microservices: Order Service, Inventory Service, and Billing Service. All three needed to react to the same database mutati...

Apr 17, 2026•46 min read

Data-engineering(1)

How CDC Works Across Databases: PostgreSQL, MySQL, MongoDB, and Beyond

A data engineering team at a fintech company built what they believed was a robust Change Data Capture pipeline: three source databases (PostgreSQL, MongoDB, and Cassandra), Debezium connectors wired to Kafka, and a downstream data warehouse receivin...

Apr 5, 2026•33 min read