![]() Reduced Latency: An Argument for On-site Data Storage Many, however, question whether their data warehouses should exist in the cloud. And yet no one questions the value of public transportation. ![]() So in this respect, the argument to use the cloud is even more compelling than the argument in favor of public transportation. This analogy doesn’t hold up when dealing with the cloud, because the cloud is inherently flexible. It can be inconvenient to even get to a location where public transportation is available, as opposed to using your car. Now, why would one use private transportation over public? In some instances, public transportation is not flexible enough. The time you spend on driving yourself can be spent doing something else, thereby (arguably) improving your productivity. Why does someone use shared public transportation versus driving a private car? The benefit is that you don’t have to do it yourself. The pros and cons of using the cloud could be deemed analogous to riding public transportation. So the newness argument doesn’t really make sense anymore. But what comes around goes around, as the saying goes – and now the idea of creating hosted computer infrastructure for data storage has returned as cloud computing. When PCs became more prevalent, it was no longer prohibitively expensive to own computers, so the time-sharing notion fell out of fashion. This idea has not yet taken hold in the world of cloud computing, but as we will see, it is on the way. The timesharing service would maintain databases of demographic and econometric data, for example, and users could incorporate that information in their analysis. Sound familiar?įurther, because many companies were using a shared environment, it was possible for those users to easily tap into data of common interest. ![]() The users of such services would send their own data to, and do their analysis on, the managed computers. Instead, in what was then known as “timesharing”, businesses would “dial in” to remote computers managed by time-sharing services. As early as the 1970s, computing was commonly done in a cloud – simply because many companies, including large ones, could not afford their own mainframe computers. Let’s first dispel some popular misconceptions about data storage in the cloud.ĭebate about the merits of data in the cloud seems to stem from the perception that the idea is new and unproven, so people are uncertain as to whether the benefits outweigh the potential risks. We will also discuss some considerations for businesses unsure of whether to have their data warehouse in the cloud or on-site. We’ll look at this notion more closely in the article that follows. It’s paradoxical but the single reason businesses might want to use the cloud is the very same reason they might not – namely, that someone else is doing the work for you. In a research report outlining its IT predictions for 2012 and beyond, industry analyst firm Gartner stated that, “At year-end 2016, more than 50 percent of Global 1000 companies will have stored customer-sensitive data in the public cloud.” To be sure, there are indications that those concerns are abating. For these companies, security and other concerns may prevent them from adopting cloud infrastructure for data warehousing. Where to store important data, however, may be problematic for some. The business world is moving towards the cloud for many enterprise applications.
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