Data midrange: analysis of full stack technical architecture of data midrange, with industry solutions

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Preface

At present , Most enterprises no longer build chimney systems from source data collection to analysis and application , Prefer centralized data collection 、 Storage , And apply layered construction . On the one hand, this method is conducive to the rapid deployment of the application system , On the other hand, it also ensures the centralized management and operation of data , Assets that reflect data 、 Resource attribute .

The emergence of the data center makes up for the data development