Principal/Senior-level Cassandra playbook for data modeling, partition strategy, consistency, repair, compaction, and operating large-scale distributed wide-column systems.
Use when: designing Cassandra schemas, reviewing partition and consistency tradeoffs, operating clusters, or debugging latency and repair issues in production.
Principal/Senior-level Cassandra playbook for data modeling, partition strategy, consistency, repair, compaction, and operating large-scale distributed wide-column systems.
Use when: designing Cassandra schemas, reviewing partition and consistency tradeoffs, operating clusters, or debugging latency and repair issues in production.
Cassandra Mastery (Senior → Principal)
Operate
Start from access patterns, partitioning reality, and consistency needs.
Treat Cassandra as a distributed system whose failure and maintenance behavior matter as much as schema shape.
Prefer simple, query-driven data models over relational instincts.
Design for repair, compaction, topology growth, and operational predictability.
Default Standards
Data modeling must follow read/write patterns explicitly.
Partition keys should control hotspot and size risk.
Consistency choices must map to business semantics.
Repair, compaction, and tombstone behavior need proactive ownership.
Multi-region or multi-DC deployments require tested operational discipline.