Change Data Capture (CDC)

Streams every row-level database insert, update, and delete directly from database transaction logs (WAL/Binlog) into Kafka, keeping search caches and data warehouses in sync without dual writes.

STAFF ENGINEER TAKEAWAY: Dual-writing from application code always leads to silent data divergence; CDC guarantees 100% fidelity from the database source of truth.

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More Topics in 3. Data & Storage

🗄️SQL Relational vs NoSQL Engines

SQL databases enforce structured schemas and ACID transactions with relations. NoSQL systems optimize for flexible schemas, horizontal partition scale, and eventual consistency.

🌲B-Tree & B+Tree Indexing

Self-balancing search tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic O(log N) time.

🏛️ACID Transactions & Isolation Levels

Guarantees Atomicity (all-or-nothing), Consistency (rules preserved), Isolation (concurrent safety), and Durability (WAL commits survive power loss).

🔺CAP Theorem (Consistency vs Availability)

In any distributed data store, network partitions (P) are inevitable. When a partition occurs, the system must choose between Consistency (CP) or Availability (AP).