![]() “Recent years have seen many new additions to the Hype Cycle, including in-memory, cloud, data virtualization, advanced analytics, data as a service, machine learning, graph, non-relational and Hadoop.” ![]() As requirements change within the architecture of the organization and place greater demands on underlying technology, the maturity and capability of many of the technologies highlighted in the Hype Cycle will advance rapidly,” said Donald Feinberg, vice president and distinguished analyst at Gartner. “Data management continues to be central to the move toward digital business. Hype Cycle for Data Management helps CIOs, chief data officers (CDOs) and other senior data and analytics leaders understand the maturity of the data management technologies they are evaluating to provide a cohesive data management ecosystem in their organizations. 29, 2017 - As data becomes ever more distributed across multiple systems, organizations have to cope with increasingly complex ecosystems and digital business requirements. Since 1987 - Covering the Fastest Computers in the World and the People Who Run Them
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