Large Data
Some modern applications have massive data sets (e.g. Google)
- far too large to store on a single machine/RDBMS
- query demands far too high even if could store in DBMS
Approach to dealing with such data
- distribute data over large collection of nodes (also, redundancy)
- provide computational mechanisms for distributing computation
Often this data does not need full relational selection
- represent data via (key,value) pairs
- unique keys can be used for addressing data
- values can be large objects (e.g. web pages, images, ...)
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