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Distributed Computing in Java 9

You're reading from   Distributed Computing in Java 9 Leverage the latest features of Java 9 for distributed computing

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787126992
Length 304 pages
Edition 1st Edition
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Author (1):
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Raja Malleswara Rao Malleswara Rao Pattamsetti Raja Malleswara Rao Malleswara Rao Pattamsetti
Author Profile Icon Raja Malleswara Rao Malleswara Rao Pattamsetti
Raja Malleswara Rao Malleswara Rao Pattamsetti
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Toc

Table of Contents (11) Chapters Close

Preface 1. Quick Start to Distributed Computing FREE CHAPTER 2. Communication between Distributed Applications 3. RMI, CORBA, and JavaSpaces 4. Enterprise Messaging 5. HPC Cluster Computing 6. Distributed Databases 7. Cloud and Distributed Computing 8. Big Data Analytics 9. Testing, Debugging, and Troubleshooting 10. Security

Big data characteristics


Big data maintenance and analysis are formed by the characteristics of data, including the structure or unstructured nature of the data, which helps in obtaining more accurate results from data processing. Big data elements can be referred to as the four V's; they are represented in the following figure:

Volume

When organizations collect information over the years, it makes an extremely huge volume of data. Such huge volume a of data may be generated from user information, application-generated audit information, and any unstructured information from the online sources. Analytic tools help in choosing the right set of data to perform the analysis and in recognizing the important metrics, which are appropriate to the perspective you may want to review from that information.

From the organization's perspective, a huge volume of information can be segregated into the following types of information:

  • Business identification data: Each organization performs certain business...
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