Chapter 7. Map-Reduce
The rise of aggregate-oriented databases is in large part due to the growth of clusters. Running on a cluster means you have to make your tradeoffs in data storage differently than when running on a single machine. Clusters don’t just change the rules for data storage—they also change the rules for computation. If you store lots of data on a cluster, processing that data efficiently means you have to think differently about how you organize your processing.
With a centralized database, there are generally two ways you can run the processing logic against it: either on the database server itself or on a client machine. Running it on a client machine gives you more flexibility in choosing a programming environment, which usually ...
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