Big Data Success in the Cloud Platform

Big data on cloud platform

Big data in the cloud platform

Overview

In today’s big data era, we have heard about different tools, platforms etc. for managing big data and analytics. Each platform like Spark, Hadoop etc., has their own specialties and limitations. Big data applications are using different platforms based on their specific requirements. But this platform selection, tools etc. does not guarantee the success of the application, until we have the proper infrastructure to back it up. Here, cloud plays the most important role. We must have a proper elastic cloud environment to support big data needs, otherwise it will be bitter experience in the production environment.

In this article, we will try to explore why cloud is important and how it helps big data applications.








What is cloud infrastructure?

Cloud infrastructure is actually a kind of infrastructure which has to be accessed through the Internet. It is a virtual infrastructure, which means that it exists in the networking system. Cloud infrastructure is a set of services which are implemented on-demand through a model called Infrastructure as a Service or IaaS. This is one of the many models for the delivery of cloud infrastructure services. This model is completely automated, and it provides both computing and storage services to the users of this service. Thus, the users of this service don’t have to create a completely separate physical infrastructure, as they will already have a reliable IT cloud infrastructure for their use.

Must Read – How Cloud Computing Helps to Grow Your Business?

Cloud infrastructure – As a product

One of the most popular products of cloud computing services is the cloud infrastructure. By the help of this product, businesses and organisations can easily build a powerful IT infrastructure with all the necessary components ready. The networking, storage and processing components can be customized according to the needs and preferences of the users. This system is very similar to that of a physical infrastructure, but it is much easier to set up, manage and is very adaptable too. Physical infrastructure needs physical access and manual work for any modifications in the system, which makes it very daunting to use, but it isn’t quite the case for cloud infrastructures.

Also read –How to Manage Data in the Multi-Cloud?

Why cloud is important for big data?

Many businesses that are using big data applications are depending on cloud infrastructures to get the benefits. Thus, cloud infrastructures are becoming more and more important. Some of the benefits of cloud computing related to big data applications are given below.

Must Read- Want to know about Big Data myths? 

Adaptability

Cloud infrastructure is perfect for those organisations or businesses whose bandwidth demands always vary. If the bandwidth needs any increase or decrease, the user can easily set up the capacity of the infrastructure. This quick response is important, as this can be the real differentiator between gaining and losing customers.








Ready-to-use and scalable infrastructure

The cloud infrastructure is ready-to-use. So any requirement can be meet instantly without any waiting time. In today’s business world, success depends upon the quick response time. This ready-to-use infrastructure helps big data applications to launch quickly and scale as per growth demands.

Must Read – Exploring Big Data and Self-Service Analytics

Cost effective

Cloud infrastructure can be used on demand basis, so big data applications can use it as per growth and demand. For example, in the initial stage of any big data application, the volume is relatively low, so the demand for infrastructure would be less. And over time, this demand will increase, so the need for infrastructure will also change. Cloud provides the flexibility to increase or decrease the infrastructure demand as per requirement, hence it is cost effective to the clients.

Recovery

Every organisation needs insurance in case of a disaster, and for this, they must invest a lot on disaster recovery. However, every business does not have enough capital or manpower to invest in data recovery. But, with the advent of cloud infrastructure, even small businesses can invest in data recovery within a very small budget and manpower. Now, they can save both time and money with the help of cloud infrastructure.

Must Read – Big data (Hadoop) as a service – How does it work? 

Automated updating

The best thing about cloud computing is that the servers aren’t in the user’s workplace, so they do not have to manage it. The people managing the server remotely update its software regularly, which enhances its performance and often its security quotient.

Must Read – What are the benefits of using Cloud computing? 

How big data can get benefit from cloud environment?

The cloud environment and big data can be the biggest trend if they come together, changing the life of thousands of people. When these technologies will join hands, every person on earth will get access to a magnanimous amount of useful data.

Cloud computing is extremely powerful and can be used to process large amounts of data at once. Also, it is not too costly as it doesn’t require expensive computing devices, large storage mediums and large physical space.








On the other hand, massive data is being generated every day by the users of cloud computing. Handling of this data can be quite challenging. But, due to the power of cloud computing, it can easily be handled. Large amounts of big data can be processed by cloud infrastructure quite easily due to its processing power and high storage capacity. This processed data can be then used for getting useful insights on different topics of interest. Thus, big data is really benefitting from the advent of cloud computing.

Also read – Big data and cloud computing – What you don’t know! 

What are the challenges?

Though big data can benefit a lot with the help of cloud computing, but current cloud computing and storage methods need to improve a lot to work as per expectations. Any cloud devices fall in this category, including personal cloud storage systems like NAS (Network Attached Storage) devices etc. are evolving continuously to work more efficiently.

Many people believe that the process of using cloud devices is just too complicated. They often cannot understand why they should use a complicated device while they have a simple storage device back at their workplace? Also, security issues often arise with cloud infrastructure. However, this problem usually doesn’t arrive in newer cloud infrastructures.

In spite of all these challenge, big data has to work with cloud to make it a success.

What is the future?

The future of big data and cloud computing together can be a really neat one. Big data generated by the users can be stored in high capacity cloud storage devices, and can be later analysed by cloud processing solutions for useful information. Also, the information processed by cloud computing can be used for fraud detection, risk detection and policy underwriting too.

In the future, big data analytics tools will be much simpler with the help of cloud computing. These cloud integrated tools will help in properly analyzing the big data. Also, machine learning will play a big role in this. The security quotient is also expected to be improved in the future and powerful networks of cloud based services will be made. This will help in better machine learning and allow data to be analysed automatically.

To make a complete success story, big data and cloud will work together in a more sophisticated and efficient way. And it will yield benefits to all types of business, be it small, medium or big.

Must Read – How do you differentiate virtualization from cloud computing? 

Success stories

Cloud computing has become very famous right from its arrival. Many organisations and businesses are using cloud computing to enhance their decision making skills and speed. Many fortune-500 companies and even some small businesses have started using this technology in addition to big data, for better results.






An example of such a service is Dropbox, a powerful cloud storage service which can store large amounts of data. Another example is that of Siemens, which is using the services of the cloud platform Syncplicity, for enhancing its customer interactions and employee collaborations.

Also, Bitly is transferring its 25 billion links to the IBM cloud servers for faster access and better management. Even educational institutions, like Oxford University, are using cloud infrastructure to simplify access for thousands of students.

Also Read – The Escalating Scope of Big Data Analytics 

Conclusion

Cloud infrastructure is one of the latest services offered by cloud service providers. It has enough potential to replace traditional physical IT infrastructures due to the features it provides and also its usability. It also requires much less resources than traditional IT infrastructures. It is much more flexible and can adapt according to the demands of the users very easily and quickly. Also, cloud infrastructures are managed by the service providers themselves, which means that the users do not have to spend time and capital for managing their infrastructures. Many companies are already using Cloud infrastructure. Cloud computing has also significantly helped big data analytics to evolve. Big data, along with cloud infrastructure, can prove to be very useful for businesses, and will continue to do so in the near future.

Read – Cloud computing articles

Read – Big data articles 

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