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Cloud Computing vs Big Data: What Is the Relationship?

Cloud computing and big data are two of the most trending terms in the ever-lasting IT sector nowadays. You may think that they both do the same thing but actually, both of them have their own ways to work to perform. Cloud computing vs big data, what are they? What is the relationship between them?

cloud computing vs big data

Cloud Computing Tutorial

Cloud computing is a technology used to store data and information on a remote server rather than on a physical hard drive. It uses the servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. It means accessing resources of organization from any remote location in the world. In simple term accessing RAM, HDD, Processor of organization’s server from laptop, desktop from any of the location where Internet is available.

what is cloud computing with example

As shown in the figure above, cloud computing is collection of different services, providing services to end user via the Internet. Services like storage, virtual desktop applications, Web/App hosting process power from servers. In the following architecture, the infrastructure built to provide services is called cloud computing. This infrastructure from where the services gets accessible is front end.

Big Data Wiki

The term big data is very popular nowadays, representing huge sets of data that can be further processed to extract information. Big data carries hidden patterns and algorithms which are unlocked by using various tools available in the market. These data sets are further analyzed to provide business insights. Big data is all about storing and processing of data that is exponentially growing these days. Giants like Google, Facebook are having their own data centers to keep track and to secure their users’ data. That’s also why many big companies are equipped with reliable network equipment (including the server, router or fiber switch) for data storage or traffic forwarding in their data centers. For high performance and cost-effective enterprise routers, Gigabit Ethernet switch and 10gbe switch, FS is a case in point.

what is big data technology

Big data requires a large amount of storage space. While the price of storage continued to decline, the resources required to leverage big data can still pose financial difficulties for SMBs (small to medium sized businesses). A typical big data storage and analysis infrastructure will be based on clustered network-attached storage (NAS). Clustered NAS infrastructure requires configuration of several NAS pods with each NAS pod comprised of several storage devices connected to an NAS device. The series of NAS devices are then interconnected to allow massive sharing and searching of data.

Key Comparisons Over Cloud Computing vs Big Data

The cloud computing works in a consolidated manner, while the big data comes under the technology of cloud computing. The crucial difference between cloud computing vs big data is that cloud computing is used to handle the huge storage capacity to provide various flexible and techniques to tackle a magnificent amount of the data. While big data is the information processed with cloud computing platform. The following chart gives a more detailed comparison over cloud computing vs big data.

	Cloud Computing	Big Data
Basic	On-demand services are provided by using integrated computer resources and systems.	Extensive set of structured, unstructured, complex data forbidding the traditional processing technique to work on it.
Purpose	Enable the data to be stored and processed on the remote server and accessed from any place.	Organization of the large volume of data and information to the extract hidden valuable knowledge.
Working Mode	Distributed computing is used to analyse the data and produce more useful data.	Internet is used to provide the cloud-based services.
Benefits	Low maintenance expense, centralized platform, provision for backup and recovery.	Cost effective parallelism, scalable, robust.
Challenges	Availability, transformation, security, charging model.	Data variety, data storage, data integration, data processing, and resource management.

Cloud Computing vs Big Data: They Work Hand in Hand

Both cloud computing and big data are good at their marks. Cloud computing vs big data: they differ from each other but work hand in hand. They are the perfect combination for data storage and processing. The cloud computing has been a precursor and facilitator to the emergence of big data. If big data is the content, then cloud computing is the infrastructure.

Original content published by: FS.COM

FIBRE AND THE INTERNET: A REASSURING CONSTANT IN A CHANGING WORLD

Twenty-five years ago last week, British scientist Sir Tim Berners-Lee and his team published, for free, the protocols that would create the public Internet. A quarter of a century seems like barely a blink of the eye, but what Berners-Lee unleashed that day has had a profound impact on our lives. Just look at the first ever Internet page to see how far we’ve come.

The world is now on the brink of the Internet of things (IoT) and a big data revolution, which means more data is being created in an Internet minute than ever before. Bandwidth has never been more in demand.

zayo_stopwatch Twenty-five years ago, a minute may have been the loading time for a single web page. Now, according to a report by Excelacom, there are 150 million emails sent, 2.4 million Google search queries and 20.8 million WhatsApp messages sent every minute in 2016. We know that artificial intelligence, virtual reality and driverless cars are just over the horizon. But in reality we have no idea what the world will look like in 25 years – the pace of change is too fast.

This is a phenomenal amount of data. It would not be possible without a scalable network infrastructure. The question is, how do we ensure that we are deploying the right infrastructure today to cope with data demands today and the Internet of tomorrow? The answer comes in a reassuringly familiar form: fibre.

Fibre optic cables work by having a single glass core via which information travels. It wasn’t until research conducted by Dutch and American scientists in 2014 in multi-core technology (the practice of having several glass cores for information to travel down in a cable rather than just one) that we understood fibre’s true potential.

The scientists were able to achieve a top speed of 255 terabits per second – equivalent to 32 terabytes of information a second. To put this into perspective, this equates to downloading a 1GB film in 0.03 seconds. Astonishingly, as a result of this research, it was realised that a single fibre cable could theoretically carry the entire world’s Internet traffic.

This modern technology and its almost limitless bandwidth will be essential to our increasingly digital world. Communication is now instantaneous, with text, audio and video messages travelling at light speed. Data centres store terabytes of information that is critical to businesses and their customers, with this information available instantaneously as and when required. Video content can be watched on-demand using devices that were created under a decade ago.

Fibre optic networks and their capabilities have allowed the world and its data to move forward in such a way that would have been inconceivable 25 years ago.

So what does the next 25 years have in store for the Internet? The amount of data consumed will only increase with time, and technology like driverless cars and smart cities will require an almost limitless amount of bandwidth to run effectively.

The one truth that we do know is that without a scalable, high-capacity fibre network all of these concepts would be nothing more than science fiction.

Original content published by ZAYO

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