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Big Data Analytics with Hadoop 3

You're reading from   Big Data Analytics with Hadoop 3 Build highly effective analytics solutions to gain valuable insight into your big data

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788628846
Length 482 pages
Edition 1st Edition
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Author (1):
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Sridhar Alla Sridhar Alla
Author Profile Icon Sridhar Alla
Sridhar Alla
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Hadoop FREE CHAPTER 2. Overview of Big Data Analytics 3. Big Data Processing with MapReduce 4. Scientific Computing and Big Data Analysis with Python and Hadoop 5. Statistical Big Data Computing with R and Hadoop 6. Batch Analytics with Apache Spark 7. Real-Time Analytics with Apache Spark 8. Batch Analytics with Apache Flink 9. Stream Processing with Apache Flink 10. Visualizing Big Data 11. Introduction to Cloud Computing 12. Using Amazon Web Services

Cloud deployment models


A Cloud deployment model represents a specific type of Cloud environment, primarily distinguished by ownership, size, and access.

The following sections describe the four common Cloud deployment models:

  • Public Cloud
  • Community Cloud
  • Private Cloud
  • Hybrid Cloud

Public Clouds

A public Cloud is a publicly accessible Cloud environment owned by a third-party Cloud provider. The IT resources on public Clouds are usually provisioned using the previously described Cloud delivery models and are generally offered to Cloud consumers at a cost or are commercialized using other avenues (such as advertisements).

The Cloud provider is responsible for the creation and ongoing maintenance of the public Cloud and its IT resources. Many of the scenarios and architectures explored in upcoming chapters involve public Clouds and the relationship between the providers and consumers of IT resources using public Clouds.

Community Clouds

A community Cloud is similar to a public Cloud except that its access...

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