When we talk about analytics in the cloud, the two big issues that historically came up were scale and security. While there has been a lot of progress and innovation in both these areas, larger issues have emerged around how to deal with fragmented data in the cloud.

Cloud computing has made enterprise data management far more complex. In the on-premise world, most enterprise apps resided within the firewall. Data was extracted from transactional systems and moved into EDW, data marts and now data lakes to perform analytics. Data movement was cheap, but data storage was expensive. Big data stacks in this context enabled moving compute to data as the economics of data storage changed. 


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