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Big Data and Cloud Computing Infrastructure

 

Nowadays, two mainstream technologies are the center of concern in IT – Big Data and Cloud Computing. Fundamentally different, Big data is all about dealing with the enormous scale of data whereas Cloud computing is about infrastructure. However, the simplification obtainable by Big data and Cloud technology is the main reason for their huge enterprise adoption. For example, Amazon “Elastic Map Reduce” demonstrates how the power of Cloud Elastic Computes is leveraged for Big Data processing.

The combination of both harvests beneficial result for the organizations. Not to mention, both the technologies are in the stage of progression but their pattern leverages the scalable and cost-effective solution in big data analytics.

So, can we say Big data and Cloud computing a perfect fusion? Well, there are data points in support of it. Besides that, there are also some real-time challenges to deal with. In this blog, we will discuss both aspects. We assume you have some idea and knowledge on Big data and Cloud computing.

Big Data and Cloud Computing

Big data deals with massive controlled, semi-structured or unstructured data to store and process it for data analysis purpose. There are five aspects of Big Data which are described through 5Vs

  • Volume – the amount of data
  • Variety – different types of data
  • Velocity – data flow rate in the system
  • Value– the value of data based on the information contained within
  • Veracity– data confidentiality and availability

Cloud computing offers services to the users on a pay-as-you-go model. Cloud providers offer three primary services, these services are outlined below:

·       Infrastructure as a Service (IAAS)

Here the service provider offers entire infrastructure along with the maintenance related tasks.

·       Platform as a Service (PAAS)

in this service, the Cloud provider offers resources like object storage, runtime, queuing, databases, etc. However, the responsibility of configuration and implementation related tasks depend on the consumer.

·       Software as a Service (SAAS)

This service is the most facilitated one which provides all the necessary settings and infrastructure provides IaaS for the platform and infrastructure are in place.

Cloud Computing Role for Big Data

Big data and Cloud computing relationship can be categorized based on service types:

·       IAAS in Public Cloud

IaaS is a cost-effective solution and utilizing this Cloud service, Big Data services enable people to access unlimited storage and compute power. It is a very cost-effective solution for enterprises where the Cloud provider bears all the expenses of managing underlying hardware.

·       PAAS in Private Cloud

PaaS vendors incorporate Big Data technologies into their offered service. Hence, they eliminate the need for dealing with the complexities of managing single software and hardware elements which is a real concern while dealing with terabytes of data.

·       SAAS in Hybrid Cloud

Analyzing social media data is nowadays an essential parameter for companies for business analysis. In this context, SaaS vendors provide an excellent platform for conducting the analysis.

How is Big Data Related to Cloud Computing?

Hence, from the above description, we can see that Cloud enables “As-a-Service” pattern by abstracting the challenges and complexity through a scalable and elastic self-service application. Big data requirement is same where distributed processing of massive data is abstracted from the end-users.

There are multiple benefits of Big data analysis in Cloud.

·       Improved analysis

With the advancement of Cloud technology, big data analysis has become more improved causing better results. Hence, companies prefer to perform big data analysis in the Cloud. Moreover, Cloud helps to integrate data from numerous sources.

·       Simplified Infrastructure

Big Data analysis is a tremendous strenuous job on infrastructure as the data comes in large volumes with varying speeds, and types which traditional infrastructures usually cannot keep up with. As Cloud computing provides flexible infrastructure, which we can scale according to the needs at the time, it is easy to manage workloads.

·       Lowering the cost

Both Big data and Cloud technology delivers value to organizations by reducing ownership. The Pay-per-user model of Cloud turns CAPEX into OPEX. On the other hand, Apache cut down the licensing cost of Big data which is supposed to be cost millions to build and buy. Cloud enables customers for big data processing without large-scale big data resources. Hence, both Big Data and Cloud technology are driving the cost down for enterprise purposes and bringing value to the enterprise.

·       Security and Privacy

Data security and privacy are two major concerns when dealing with enterprise data. Moreover, when your application is hosted on a Cloud platform due to its open environment and limited user control security becomes a primary concern. On the other hand, being an open-source application, Big data solution like Hadoop uses a lot of third-party services and infrastructure. Hence, nowadays the system integrators bring in Private Cloud Solution that is Elastic and Scalable. Furthermore, it also leverages Scalable Distributed Processing.

Besides that Cloud data is stored and processed in a central location commonly known as Cloud storage server. Along with it the service provider and the customer signs a service level agreement (SLA) to gain the trust between them. If require the provider also leverages required an advanced level of security control. This enables the security of big data in Cloud computing covering the following issues:

    1. Protecting big data from advanced threats.
    2. How Cloud service providers maintain storage and data.

There are rules associated with service level agreements for protecting

  • data
  • capacity
  • scalability
  • security
  • privacy
  • availability of data storage and data growth

On the other hand in many organizations, big data analytics is utilized to detect and prevent advanced threats and malicious hackers.

·       Virtualization

Infrastructure plays a crucial role to support any application. Virtualization technology is the ideal platform for big data. Virtualized big data applications like Hadoop provide multiple benefits which are not accessible on physical infrastructure, but it simplifies big data Management. Big data and Cloud computing point to the convergence of various technologies and trends that makes IT infrastructure and related applications more dynamic, more expendable and more modular and. Hence, Big data and Cloud computing projects rely heavily on virtualization

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  • Hi!

     

    Are you able to transfer that to current SAP offerings? Or better, how would you see SAP for a solution and where would you see others like AWS, GCP or Azure?

     

  • I would argue that  Improved analysis has nothing to do with Cloud or on Prem and depends on the actual tools used to do such analysis.

    Lowering the cost – that would need to be shown with actual examples and scenarios, which include cost of moving the data from on-prem into cloud to really judge if cloud has the benefit or not.