Tombstoning Cassandra’s super columns

High-dimensional data Cassandra’s native data model is two dimensional: rows and columns. This is great for data that is naturally grouped together e.g. fields of a message. However, some uses require more dimensions – maybe you want to group your messages by recipient too, creating something like this: “alice”: { “ccd17c10-d200-11e2-b7f6-29cc17aeed4c”: { “sender”: “bob”, “sent”:… Continue reading Tombstoning Cassandra’s super columns

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