Big data and the cloud

Big data projects typically get started with data storage and application of basic analytics modules. However, as you discover ways to extract data at a much larger scale, you will need to find better methods to process and analyze this data, which will likely require infrastructure upgrades.

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The Roles & Relationship Between Big Data & Cloud

Cloud Computing providers often utilize a “software as a service” model to allow customers to easily process data.

Big Data is often generated by large, network-based systems.

This cloud infrastructure allows for real-time processing of Big Data.

Common relationship between Big Data and Cloud Computing is that the power of the cloud allows Big Data analytics to occur in a fraction of the time it used to.

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Big Data and Cloud Computing

Big data deals with massive structured, 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

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Advantages of Big Data and Cloud

Bringing big data to the cloud presents huge opportunities, but there are some challenges that need to be overcome.

Requires zero CAPEX

The cloud has fundamentally changed IT spending as organizations know it—and in a good way. As we mentioned earlier, big data projects require immense infrastructure resources, which traditionally would also mean high on-premise capital expenditure (CAPEX) investments.

Enables faster scalability

Large volumes of both structured and unstructured data requires increased processing power, storage, and more. The cloud provides not only readily-available infrastructure.

Lowers the cost of analytics

Mining big data in the cloud has made the analytics process less costly. In addition to the reduction of on-premise infrastructure, you can also save on costs related to system maintenance and upgrades, energy consumption, facility management, and more.

Encourages an agile and innovative culture

The ability to innovate is a mindset that should be cultivated within any enterprise. This type of culture can lead to creative ways of using big data to gain a competitive advantage, and the cloud makes it easier to spin up the necessary infrastructure to do so.

Enables better business continuity and disaster recovery

In cases of cyber attacks, power outages or equipment failure, traditional data recovery strategies will no longer do the trick. The task of replicating a data center – with duplicate storage, servers, networking equipment, and other infrastructure – in preparation for a disaster is tedious, difficult, and expensive.

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Cloud Computing Role for Big Data Image Description

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 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.

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.