Time Series with Cassandra Single device per row Partitioning to limit row size adding data to the row...

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Time Series with Cassandra
Single device per row 
Partitioning to limit row size 
adding data to the row key to limit the amount of columns you get per device.
PRIMARY KEY (weatherstation_id,event_time),
Reverse order timeseries with expiring columns: rolling storage
WITH CLUSTERING ORDER BY (event_time DESC);

Insert USING TTL 20;
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Materialized Views
minimizing disk seeks at the cost of higher space consumption is a good tradeoff.
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create table sensor_entries ( 
sensorid uuid, time_taken timeuuid, reading text,  
primary key(sensorid, time_taken)) with compact storage;
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Cassandra is awesome at time seriesCassandra’s data model works well with data in a sequence. That data can be variable in size, and Cassandra handles

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