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  • OpenStack Sahara essentials:integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara
  • 點閱:53
  • 作者: Omar Khedher
  • 出版社:Packt Publishing Ltd.
  • 出版年:2016
  • ISBN:9781785885969; 9781785880148
  • 格式:EPUB 流式,PDF,JPG繁簡轉換朗讀

OpenStack, the ultimate cloud computing operating system, keeps growing and gaining more popularity around the globe. One of the main reasons of OpenStack's success is the collaboration of several big enterprises and companies worldwide.

Within every new release, the OpenStack community brings a new incubated project to the cloud computing open source world. Lately, big data has also taken a very important role in the OpenStack journey. Within its broad definition of the complexity of data management and its value extraction, the big-data business faces several challenges that need to be tackled. With the growth of the concept of cloud paradigm in the last decade, the big-data world can also be offered as a service.

Specifically, the OpenStack community has taken on such a challenge to turn it into a very unique opportunity: Big Data as a Service. The Sahara project makes provisioning a complete elastic Hadoop cluster a very seamless operation with no need for touching the underlying infrastructure. Running on OpenStack, Sahara becomes a very mature project that supports Hadoop and Spark, the open source in-memory computing framework. That becomes a very good deal to find a parallel world about Big Data and Data Processing in Sahara named Elastic Data Processing.

Sahara, formerly known as Savanna, has become a very attractive project, mature and supporting several big data providers.

In this book, we will explore the main motivation of using Sahara and how it interacts with other services of OpenStack. The main motivation of using Sahara is the facilities exposed from a central dashboard to manage big-data infrastructure and simplify data-processing tasks. We will walk through the installation and integration of Sahara OpenStack, launch clusters, execute sample jobs, explore more functions, and troubleshoot some common errors. By the end of this book, you should not only understand how Sahara operates and functions within the OpenStack ecosystem but also realize its major use cases of cluster and workload management.

Omar Khedher is a systems and network engineer. He worked for a few years in cloud computing environments and was involved in several private cloud projects based on OpenStack. Leveraging his skills as a system administrator in virtualisation, storage, and networking, he works as cloud system engineer for a leading advertising technology company, Fyber, based in Berlin. Currently, together with several highly skilled professional teams in the market, they collaborate to build a high scalable infrastructure based on the cloud platform.

Omar is also the author of another OpenStack book, Mastering OpenStack, Packt Publishing. He has authored also few academic publications based on new researches for the cloud performance improvement.

  • Preface
  • Chapter 1 : The Essence of Big Data in the Cloud
    • It is all about data
    • OpenStack crossing big data
    • Summary
  • Chapter 2 : Integrating OpenStack Sahara
    • Preparing the test infrastructure environment
    • Installing OpenStack
    • Integrating Sahara
    • Summary
  • Chapter 3 : Using OpenStack Sahara
    • Planning a Hadoop deployment
    • Creating a Hadoop cluster
    • Summary
  • Chapter 4 : Executing Jobs with Sahara
    • Job glossary in Sahara
    • Running jobs in Sahara
    • Summary
  • Chapter 5 : Discovering Advanced Features with Sahara
    • Sahara plugins
    • Boosting Elastic Data Processing performance
    • Defining the network
    • Increasing data reliability
    • Summary
  • Chapter 6 : Hadoop High Availability Using Sahara
    • HDP high - availability support
    • CDH high-availability support
    • Summary
  • Chapter 7 : Troubleshooting
    • Troubleshooting OpenStack
    • Troubleshooting data processing
    • Summary
  • Index
紙本書 NT$ 1280
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NT$ 1024

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