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

By Fei Hu

Even if there are already a few books released on immense info, such a lot of them in basic terms conceal easy techniques and society affects and forget about the interior implementation details—making them incorrect to R&D humans. To fill any such want, tremendous facts: garage, Sharing, and protection examines enormous information administration from an R&D standpoint. It covers the 3S designs—storage, sharing, and security—through exact descriptions of huge info suggestions and implementations. Written through well-recognized huge information specialists worldwide, the publication comprises greater than 450 pages of technical information at the most crucial implementation elements concerning great facts. With the aim of facilitating the clinical learn and engineering layout of massive facts structures, the booklet contains components. half I, mammoth information administration, addresses the real themes of spatial administration, facts move, and information processing. half II, defense and privateness matters, offers technical info on safety, privateness, and responsibility. analyzing the cutting-edge of huge info over clouds, the publication offers a unique structure for attaining reliability, availability, and safety for companies working at the clouds. It offers technical descriptions of massive information versions, algorithms, and implementations, and considers the rising advancements in titanic facts functions. each one bankruptcy comprises references for extra research.

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Extra info for Big Data: Storage, Sharing, and Security

Sample text

4 Relational databases . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 NoSQL databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 New relational databases . . . . . . . . . . . . . . . . . . . . . . . . . 7 Deep dive into NoSQL technology . . . . . . . . . . . . . . . . . . . . 1 Data model . . . . . . . . . . . . . . .

Metadata consists of the fields associated with each file such as i-node, filename, file permissions, and timestamps. Object data consists of the binary data stored in the file. File metadata is stored in the Lustre metadata server (MDS). 3. When a client requests data from a file, it first contacts the MDS, which returns pointers to the appropriate objects in the OSSes. This movement of information is transparent to the user and handled fully by the Lustre client. To an application, Lustre operations appear as standard file system operations and require no modification of application code.

6 How to Choose the Right Technology . . . . . . . . . . . . . . . . . . . . . . . 7 Case Study of DBMSs with Medical Big Data . . . . . . . . . . . . . . . . . . . 8 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . .

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