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Table of contents
1.
Introduction
2.
Importance of Big Data in the cloud
3.
What is Cloud Computing?
4.
Cloud delivery models
4.1.
Public Cloud
4.2.
Private Cloud
5.
Frequently Asked Questions
5.1.
Are there any other specific cloud models?
5.2.
When can a public model be very effective?
6.
Conclusion
Last Updated: Mar 27, 2024

Cloud in the context of the Big data

Author Ayushi Poddar
0 upvote

Introduction

The real power of the cloud is that it allows users to have access to the needed computing and storage resources, with either very little or no IT support or the need to purchase any more hardware or software. The main property of the cloud is its elastic scalability because users can both add or subtract resources in almost real-time according to their changing requirements. Cloud has been known to play a significant role within the big data world. The efficient and intelligent change is visible when these infrastructure components are combined with the advances in data management. Practical implementation of big data is supported by horizontally expandable and optimized infrastructure. 

Importance of Big Data in the cloud

Cloud computing is a means of sharing computing resources that is becoming increasingly vital for your big data project. Applications, processing, storage, networking, development, and deployment platforms, as well as business processes, are all part of the cloud.

Consider Gmail and the hundreds of millions of messages it handles every day. Google has optimised the Linux operating system and its software environment to support e-mail as efficiently as possible, allowing it to effortlessly support hundreds of millions of users.More crucially, Google is able to acquire and use a vast quantity of data about both its mail users and its search engine users to fuel its business.

Similarly, Amazon.com's IaaS data centres are geared to serve these workloads, allowing Amazon to offer new services and support a growing number of customers without breaking the bank. Amazon must be able to handle data about its merchandise, buyers, and channel of partner merchants in order to build its retail company. The company's performance depends on targeted advertising based on customer purchasing patterns. These businesses currently provide a variety of big data cloud services.

What is Cloud Computing?

The method known for providing a set of shared computing resources, including applications, computing, storage, networking, development, deployment platforms, and business processes, is called cloud computing. This method enables the transformation of computing assets into shared pools of resources based on the underlying Internet Foundation. It is a service-based model, where everything starting from computing power to computing infrastructure and from applications and business processes to data and analytics can be provided to you as a service.

There are a lot of businesses that are dependent on cloud services for everything from backup to Software as a Service (SaaS) options, such as customer relationship management services (CRM) services. With the fast pace growth of mobile computing and more and more consumers, professionals and corporations are moving on to cloud computing for creating and accessing data with cloud-based services.

A well-known example of seeing the importance of cloud-based computing is both Google and Amazon.com. Both companies can manage massive amounts of data to move their businesses forward only because of cloud computing. These companies just developed the required infrastructures and technologies, which could support the applications at such a massive scale.

Cloud delivery models

There are two types of development models prevalent for cloud computing, including public and private. Both of them are offered for general-purpose computing needs.

Public Cloud

This is a set of hardware, networking, storage, services, applications, and different interfaces owned and operated by a third party, which some other company or individual uses. Public cloud service providers create a highly scalable data center that hides the underlying infrastructural details from the consumer. These clouds are even more viable because they manage relatively repetitive and straightforward workloads. For instance, electronic mail is a clear example of it. Similarly, public cloud providers offer storage or computing services by optimizing their computing hardware and software to support specific workload demands, then, in such cases, the private cloud is the best choice considering latency and security.

Private Cloud

This is a set of hardware, networking, storage, services, applications, and different interfaces owned and operated by an organization specifically for the use of its employees, partners, and customers. A private cloud is created and managed by a third party and is a highly controlled environment that is not open for public consumption. There exists a firewall behind which is the private cloud. It is a highly automated cloud that focuses on governance, security, and compliance. If organizations manage big data projects that demand the processing of massive amounts of data.

Apart from these two types of models, a hybrid kind of cloud model also exists, a combination of public and private cloud services. 

Frequently Asked Questions

Are there any other specific cloud models?

There exist other cloud models as well, for example, Infrastructure as a Service, Platform as a Service, Software as a Service, and Data as a Service.

When can a public model be very effective?

A public model can be very effective when an organization executes a complex data analysis project and requires extra computing cycles to handle a task.

Conclusion

This article extensively discussed the importance of the cloud in Big data. Big data is the next necessity of every business and for that what matters the most is Cloud Computing. We hope that this blog has helped you gain more knowledge regarding the role of cloud computing in Big Data, check out our articles on Coding Ninjas.

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