Learn CQL with Real Code Examples

Create a user activity table with composite key

Insert IoT sensor data with TTL

Query time-series data by device ID and timestamp

Update user session state using lightweight transactions

Resolve consistency level errors

Handle unavailable nodes or timeouts

Fix schema mismatch errors

Optimize queries for large partitions

Test CRUD operations in cqlsh

Verify clustering and partitioning behavior

Monitor consistency and latency with stress tests

Use unit tests with embedded Cassandra or mocks

Standalone Cassandra node

Multi-node cluster for high availability

Cloud-hosted Cassandra (DataStax Astra)

Containerized deployment with Docker/Kubernetes

cqlsh CLI

DataStax DevCenter

DataStax Studio

Apache Cassandra drivers (Java, Python, Node.js, C#)

Monitoring tools (Prometheus, Grafana)

Java, Python, Node.js, Go, C#, Scala

Spring Data Cassandra

Spark Cassandra Connector

Kafka for streaming ingestion

Cloud platforms (AWS, Azure, GCP)

Use prepared statements in drivers

Batch writes carefully

Partition data to avoid hotspots

Reuse query templates for consistency

Build a time-series IoT sensor data application

Implement a user session store with TTL

Optimize queries on large datasets

Use lightweight transactions for conditional updates