se Cases of NoSQL (Logging, Counters, Expiring Data)
NoSQL databases like Apache Cassandra and HBase are well suited for applications that require high write speed, scalability, and availability.
1. Logging
Meaning
Logging refers to storing:
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System logs
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Application logs
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Event logs
Why NoSQL is Suitable
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Handles huge volumes of log data
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Very high write throughput
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Distributed storage
How Cassandra Helps
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Fast sequential writes
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Data stored across multiple nodes
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Fault tolerant
Examples
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Server access logs
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Error logs
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Clickstream logs
2. Counters
Meaning
Counters are used to count occurrences of events.
Why NoSQL is Suitable
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Supports frequent updates
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Handles concurrent increments
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High performance
Counters in Cassandra
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Special column type called Counter
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Used for increment/decrement operations
Examples
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Page views
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Likes and shares
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Number of downloads
3. Expiring Data (TTL – Time To Live)
Meaning
Expiring data is automatically deleted after a fixed time.
Why NoSQL is Suitable
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Automatic data cleanup
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Efficient storage management
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No manual deletion required
TTL in Cassandra
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Each column can have TTL
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Data is removed after expiry time
Examples
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Session data
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Temporary cache data
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OTP and verification codes
4. Summary Table
| Use Case | Purpose | Example |
|---|---|---|
| Logging | Store events | System logs |
| Counters | Count events | Page views |
| Expiring Data | Auto-delete | Session data |
5. Advantages
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High performance
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Scalable
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Low latency
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Efficient data management
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