Clearly the shift toward cloud and the importance of big data is real and must not be reversed. Cloud was driven in part by a dissatisfaction with existing delivery models of technology in the organisations. Big data is the natural consequence of the availability of information. The reality is that both are not revolutions, rather than evolutions. As a result of it being an evolution, old problems are not going away and this is a significant concern. Yet again our industry will not learn from mistakes of the past.
Recently Amazon Web Services launched capabilities in Australia and at the analyst briefing, highlighted the global capability. To be honest it is impressive and will have an impact in most markets particularly as it sets up more nodes. However, it is not solving the problem of data management . I asked AWS about the role of data de-duplication with their storage offering. It was dismissed as not being relevant because data is so cheap. As somekone who has written and worked around the need for rock solid data as the first step for Big Data and analytics it is disappointing to hear such an approach. I am sure that it is not just AWS of the volume commoditised storage providers who take this view. Having cheap storage is not solving data management problems, it is merely shifting the solution to a later resolution
At the same time, talking with SAP Hana customers (again a product I think has a real impact), and it was disappointing to hear that they are not increasing their data governance around the data they put into Hana as distinct from that applied to legacy Data Warehouse systems. The opportunity to ensure that the data is accurate and as meaningful is being lost because the bucket to analyse it is so big.
Sometimes it would have been beneficial to our industry overall if trends like cloud storage and Hana were truly revolutionary to ensure that the processes are really improved and business outcomes realised.