Big data needs a product like Microsoft Access
«While lauding a tool that facilitates incomplete success may seem absurd, such a tool is essential to getting successful systems built. Access allowed users to actualize the systems that they wanted, and those systems that passed subsequent peer review created user demand and demonstrated efficacy. This situation was no cul-de-sac, as many such systems were eventually re-implemented by specialists using more professional tools. Without Access, arguably, those systems would not have been implemented at all.»
The trend toward self-service in business analytics has been good for the big data industry. But in order for the user-oriented paradigm to take deep root, the industry needs to change the way it is approaching it. The information worker and data analytics worlds need a big data product akin to Microsoft Access.
Access itself was never especially safe or appropriate for production database applications. But business users were able to use it to stretch their imaginations. By having a tool that could build working database application prototypes, users were able to take ownership of what databases could do and how they could be used. Access allowed business users to experiment with databases and implement something in a relatively short period of time. Access provided everything necessary to create a database system that could almost work in a mission-critical capacity.
While lauding a tool that facilitates incomplete success may seem absurd, such a…
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