With the amount of in the world predicted to increase at least 50-fold between and 20, how we store that data has come into sharp focus. Collecting large volumes of raw log data from multiple applications and infrastructure components and sending it to a central for storage and processing, for example, increases the size and cost of storage. And as the volume of data grows and storage and processing costs increase dramatically, businesses risk undermining the advantages big data brings. Furthermore, the surging demand for data has environmental implications; by 2020, 12 percent of the world’s energy consumption will be taken by our digital ecosystem, and this is expected to grow annually at approximately 7 percent until 2030. 

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