How can the size of the data be reduced to enable more cost effective storage and increased data movement mobility when faced with very large amounts of data?

The Random Access Storage compound pattern represents a part of a Big Data platform capable storing high-volume and high-variety data and making it available for random access.

The Poly Storage compound pattern represents a part of a Big Data platform capable of storing high-volume, high-velocity and high-variety data.

How can large amounts of data be stored without investing in any Big Data storage infrastructure and only paying for the used storage space?

How can data stored in a Big Data solution environment be kept private so that only the intended client is able to read it?

How can large amounts of data be stored in a fault tolerant manner such that the data remains available in the face of hardware failures?

How can large amounts of data be accessed instantaneously without any delay?