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The usual interface to manipulate an OLAP cube is a matrix interface like Pivot tables

MOLAP stores this data in an optimized multi-dimensional array storage, rather than in a relational database

The problem of deciding which aggregations (views) to calculate is known as the view selection problem. View selection can be constrained by the total size of the selected set of aggregations, the time to update them from changes in the base data, or both. The objective of view selection is typically to minimize the average time to answer OLAP queries, although some studies also minimize the update time

Parquet is designed to bring efficient columnar storage to Hadoop. Compared to, and learning from, the initial work done toward this goal in Trevni, Parquet includes the following enhancements:

Supports Google account and OpenID authentication and access control on each JSON document. Provides admin console for setting the access control.

There are several common strategies for document versioning. The strategy you select will depend on the trade-offs you want to make. Please note that MongoDB does not have any support for triggers. So a few of these methods will require that you be able to do multiple writes.

=== Strategy 1: embed history === In theory, you can embed the history of a document inside of the document itself. This can even be done atomically.

=== Strategy 2: write history to separate collection ===

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