Data warehouses and OLAP systems are business intelligence technologies. They allow decision-makers to analyze on the fly huge volumes of data represented according to the multidimensional model. Cloud computing on the impulse of ICT majors like Google, Microsoft and Amazon, has recently focused the attention. OLAP querying and data warehousing in such a context consists in a major issue. Indeed, problems to be tackled are basic ones for large scale distributed OLAP systems (large amount of data querying, semantic and structural heterogeneity) from a new point of view, considering specificities from these architectures (pay-as-you-go rule, elasticity, and user-friendliness). In this paper we address the pay-as-you-go rules for warehousing data storage. We propose to use the multidimensional arrays storage techniques for clouds. First experiments validate our proposal.