The Gartner Hype Cycle serves as a framework for understanding the progression of emerging technologies, illustrating public perception from inflated expectations to productivity. In 2015, big data was no longer viewed as emerging but prevalent, indicating its rapid adoption. However, the article argues that while software tools are strong, many enterprises lack the necessary infrastructure and effectiveness to harness big data fully. The reliance on traditional CPUs for processing large datasets introduces inefficiencies, suggesting the real potential of big data is still to be fully realized.
The Gartner Hype Cycle illustrates the path of new technologies, depicting public perception from over-expectation to eventual maturity.
Big data was removed from the Hype Cycle, showing its transition from novelty to essentiality in business practices.
Despite the widespread adoption of big data tools, the infrastructure and effectiveness in utilizing these data remains a challenge for many enterprises.
The reliance on traditional CPUs for processing large datasets causes inefficiencies, inhibiting enterprises from truly realizing the potential of big data.
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