Big Data: Storage, Sharing, and Security by Fei Hu

By Fei Hu

Even supposing there are already a few books released on tremendous facts, so much of them merely conceal simple suggestions and society affects and forget about the interior implementation details—making them fallacious to R&D humans. To fill any such desire, large info: garage, Sharing, and defense examines mammoth info administration from an R&D standpoint. It covers the 3S designs—storage, sharing, and security—through designated descriptions of massive facts innovations and implementations. Written by way of well-recognized great info specialists all over the world, the publication includes greater than 450 pages of technical information at the most crucial implementation points concerning significant facts. With the target of facilitating the medical examine and engineering layout of huge info platforms, the publication includes elements. half I, mammoth facts administration, addresses the $64000 themes of spatial administration, info move, and knowledge processing. half II, safety and privateness concerns, offers technical info on safeguard, privateness, and responsibility. interpreting the state-of-the-art of massive facts over clouds, the booklet provides a unique structure for attaining reliability, availability, and safeguard for companies working at the clouds. It provides technical descriptions of massive information types, algorithms, and implementations, and considers the rising advancements in colossal information purposes. every one bankruptcy comprises references for additional examine.

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Example text

7 Case Study of DBMSs with Medical Big Data . . . . . . . . . . . . . . . . . . . 8 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

8 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 32 32 33 33 34 36 37 37 37 Introduction The ability to collect and analyze large amounts of data is a growing problem within the scientific community.

7 Case Study of DBMSs with Medical Big Data . . . . . . . . . . . . . . . . . . . 8 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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