As with other emerging tech concepts, big data and analytics are haunted by myths. Here are eight such myths that you will want to dispel as you advance your analytics strategy.
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Big data analytics are far too expensive
When you start discussing the topic of big data to those who aren’t fully informed, you often come away with the sense that many IT leaders feel that they can’t afford the cost of getting started. This likely came about because big data first became popular with the largest enterprise organizations. Story after story about big data being leveraged in companies such as Facebook, Microsoft and Wal-Mart led many to believe that this was a technology only attainable by the largest of organizations. While this may have in fact been true very early on, cloud-based big data and analytics solutions now allow companies to start small and scale their big data ambitions on an as-needed basis with relatively low start-up costs.
Andrew has well over a decade of enterprise networking under his belt through his consulting practice, which specializes in enterprise network architectures and datacenter build-outs and prior experience at organizations such as State Farm Insurance, United Airlines and the ... View Full Bio
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