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A comparative study in Cloudera, Azure and AWS

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<p>This research will focus on the differences and similarities between the various Hadoop distributions on-premises or in the cloud. We will also focus on cloud services and components and try to compare them. We will choose Cloudera as Hadoop distribution and AWS, Azure as cloud distribution services. Distributed cloud services have opened the door to easy use and integration of extensive IT services without much manual effort, which is possible with the help of open source communities. However, some enterprises do not see cloud services as a trusted or secure option for their data, so cloud service providers (CSP's) are considering hybrid solutions as a trend. In general, we can see that these distributions are converging in recent years, and enterprises tend to choose the public cloud as a deployment model. This convergence makes any comparison a difficult task. In this study, we will attempt to develop a general comparison method for cloud services and Hadoop distributions that can serve as a basis for future comparison studies."}]}This research will focus on the differences and similarities between the various  distributions on-premises or in the cloud. We will also focus on cloud services and components and try to compare them. We will choose  as  distribution and AWS, Azure as cloud distribution services. Distributed cloud services have opened the door to easy use and integration of extensive IT services without much manual effort, which is possible with the help of open source communities. However, some enterprises do not see cloud services as a trusted or secure option for their data, so cloud service providers (CSP's) are considering hybrid solutions as a trend. In general, we can see that these distributions are converging in recent years, and enterprises tend to choose the public cloud as a deployment model. This convergence makes any comparison a difficult task. In this study, we will attempt to develop a general comparison method for cloud services and distributions that can serve as a basis for future comparison studies.  </p>
Institute of Electrical and Electronics Engineers (IEEE)
Title: A comparative study in Cloudera, Azure and AWS
Description:
<p>This research will focus on the differences and similarities between the various Hadoop distributions on-premises or in the cloud.
We will also focus on cloud services and components and try to compare them.
We will choose Cloudera as Hadoop distribution and AWS, Azure as cloud distribution services.
Distributed cloud services have opened the door to easy use and integration of extensive IT services without much manual effort, which is possible with the help of open source communities.
However, some enterprises do not see cloud services as a trusted or secure option for their data, so cloud service providers (CSP's) are considering hybrid solutions as a trend.
In general, we can see that these distributions are converging in recent years, and enterprises tend to choose the public cloud as a deployment model.
This convergence makes any comparison a difficult task.
In this study, we will attempt to develop a general comparison method for cloud services and Hadoop distributions that can serve as a basis for future comparison studies.
"}]}This research will focus on the differences and similarities between the various  distributions on-premises or in the cloud.
We will also focus on cloud services and components and try to compare them.
We will choose  as  distribution and AWS, Azure as cloud distribution services.
Distributed cloud services have opened the door to easy use and integration of extensive IT services without much manual effort, which is possible with the help of open source communities.
However, some enterprises do not see cloud services as a trusted or secure option for their data, so cloud service providers (CSP's) are considering hybrid solutions as a trend.
In general, we can see that these distributions are converging in recent years, and enterprises tend to choose the public cloud as a deployment model.
This convergence makes any comparison a difficult task.
In this study, we will attempt to develop a general comparison method for cloud services and distributions that can serve as a basis for future comparison studies.
 </p>.

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