By Fei Hu

Even though there are already a few books released on colossal info, so much of them simply conceal simple thoughts and society affects and forget about the interior implementation details—making them fallacious to R&D humans. To fill any such desire, substantial information: garage, Sharing, and defense examines large information administration from an R&D point of view. It covers the 3S designs—storage, sharing, and security—through targeted descriptions of huge information recommendations and implementations. Written by means of well-recognized enormous info specialists all over the world, the booklet includes greater than 450 pages of technical information at the most crucial implementation elements concerning mammoth information. With the aim of facilitating the medical learn and engineering layout of huge information platforms, the publication comprises components. half I, vast info administration, addresses the $64000 themes of spatial administration, information move, and knowledge processing. half II, safeguard and privateness matters, offers technical information on defense, privateness, and responsibility. studying the cutting-edge of huge facts over clouds, the booklet offers a unique structure for reaching reliability, availability, and safety for providers operating at the clouds. It provides technical descriptions of huge info types, algorithms, and implementations, and considers the rising advancements in colossal facts functions. each one bankruptcy comprises references for additional research.

Show description

Read or Download Big Data: Storage, Sharing, and Security PDF

Similar data mining books

Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics

Immense info Imperatives, specializes in resolving the major questions about everyone’s brain: Which info issues? Do you will have adequate facts quantity to justify the utilization? the way you are looking to method this quantity of knowledge? How lengthy do you actually need to maintain it lively to your research, advertising, and BI purposes?

Biometric System and Data Analysis: Design, Evaluation, and Data Mining

Biometric approach and information research: layout, review, and knowledge Mining brings jointly elements of data and laptop studying to supply a entire advisor to judge, interpret and comprehend biometric info. This specialist publication clearly results in subject matters together with information mining and prediction, largely utilized to different fields yet no longer conscientiously to biometrics.

Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data

Records, facts Mining, and computing device studying in Astronomy: a pragmatic Python advisor for the research of Survey info (Princeton sequence in sleek Observational Astronomy)As telescopes, detectors, and desktops develop ever extra robust, the quantity of knowledge on the disposal of astronomers and astrophysicists will input the petabyte area, delivering exact measurements for billions of celestial items.

Computational Intelligence in Data Mining - Volume 1: Proceedings of the International Conference on CIDM, 20-21 December 2014

The contributed quantity goals to explicate and deal with the problems and demanding situations for the seamless integration of 2 middle disciplines of computing device technology, i. e. , computational intelligence and knowledge mining. information Mining goals on the automated discovery of underlying non-trivial wisdom from datasets via employing clever research ideas.

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

Sample text

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.

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

5 NoSQL databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 New relational databases . . . . . . . . . . . . . . . . . . . . . . . . . 7 Deep dive into NoSQL technology . . . . . . . . . . . . . . . . . . . . 1 Data model . . . . . . . . . . . . . . . . . . . . . . . . . 2 Design . . . . . . . . . . . . . . . .

Download PDF sample

Rated 4.89 of 5 – based on 23 votes