Cloud Computing and Big Data – A true combination

Tudip

Tudip

20 April 2020

Cloud computing and Big data, both technologies are important in themselves. Many companies aim to integrate the two techniques to obtain more commercial benefits.

Both technologies aim to improve the income of the company, reducing the cost of investment. While Cloud manages local software, Big data helps with business decisions.

Big Data

Big Data is a term used to describe a collection of large structured, unstructured or semi-structured data for storage and processing for data analysis purposes.

The Three ‘Vs’ of Big Data

Volume: The amount of data. With Big Data, you will have to process large volumes of data.

Velocity: Velocity is the rate which data is generated and processed. Normally, the highest speed of data flows directly into memory instead of being written to disk.

Variety: Variety refers to the many types of data available.

Cloud Computing

Cloud computing is the delivery of on-demand computing resources which includes servers, software, storage, databases, networks, analysis, and intelligence over the Internet on a pay-for-use basis to offer faster innovation, flexible resources, and economies of scale. You only pay for the services you use, which helps in reducing your operating costs, run your infrastructure more efficiently and scale as your business needs change.

Cloud computing offers services to users in a pay-per-use model. Three main services offered by Cloud providers are detailed below:

Infrastructure as a Service (IAAS): It provides companies with computing resources with an instant computing infrastructure, provisioned and managed over the internet.

Platform as a service (PAAS): It is a cloud-based environment with the resources that allow it to deliver everything from simple cloud-based applications to sophisticated and cloud-enabled business applications.

Software as a Service (SAAS): This service provides the necessary configurations and infrastructure that IaaS provides for the platform and infrastructure.

Cloud Computing Role for Big Data

Big Data and the cloud computing relationship can be classified according to the types of service:

IAAS in Public Cloud: IaaS is a cost-effective solution and by using this service in the cloud, Big Data services allow you to access unlimited storage and computing power. It’s a very cost-effective solution for companies where the cloud provider assumes all the underlying hardware management costs.

PAAS in Private Cloud: PaaS helps in reducing the complexities of managing software and hardware elements, which is a real concern when dealing with data by integrating Big Data technologies with services offered by cloud infrastructure.

SAAS in Hybrid Cloud: The analysis of the data of the social networks is nowadays an essential parameter for the business analysis of the companies. SaaS providers provide a platform to perform the analysis.

How is Big Data Related to Cloud Computing?

Cloud enables the “As-a-Service” pattern by abstracting challenges and complexity through a scalable and elastic self-service application. The Big Data requirement is the same when distributed mass data processing is abstracted from end-users.

There are many benefits of Big Data analysis in the cloud

Improved analysis: Big data analysis has been improved and better results have been obtained with the growth of Cloud technology. Therefore, companies prefer to execute big data analysis in the cloud. In addition, Cloud helps integrate data from various sources.

Simplified Infrastructure: Big Data analysis is a tremendously exhausting work in infrastructure since the data comes in huge volumes with variable speeds and types with which traditional infrastructures generally cannot keep up. As cloud computing provides a flexible infrastructure, which we can scale according to the needs at that time. So, it becomes easy to manage workloads.

Lowers the cost: Big data technology and Cloud technology, both provide value to organizations by lowering the ownership. The Cloud per-user payment model converts CAPEX to OPEX. On the other hand, Apache reduced the cost of Big Data license, which is supposed to cost to build and buy millions. The cloud allows customers to process large data without large-scale large data resources. Therefore, both Big Data and cloud technology are reducing the cost for business purposes and adding value to the company.

Security and Privacy: Privacy and Data security are the two main concerns when it comes to business data. Moreover, when a cloud platform is used to host an application because of its open environment and limited user control security becomes a primary concern. Also, being an open-source application, Big data solutions like Hadoop uses a lot of third-party services and infrastructure, the Big Data solution such as Hadoop uses many third-party services and infrastructure. Therefore, today system integrators bring a private cloud solution that is elastic and scalable. In addition, it also takes advantage of scalable distributed processing. Many organizations, big data analysis is used to detect and prevent threats and malicious hackers.

Virtualization:  Infrastructure plays an essential role to support any application. Also, Virtualization technology is the ideal platform for big data. Virtualized big data applications such as Hadoop provide multiple benefits that are not accessible in the physical infrastructure but simplify big data management. Therefore, Big Data and Cloud Computing projects rely heavily on virtualization.

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