Big Data and Cloud Computing: A Winning Combination!


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Cloud computing and big data are the two main technologies that have now gained recognition in the mainstream industries of the current world. You are mistaken if you think they are interchangeable because computing represents infrastructure and big data means content. And the combination of both these technologies could be a game changer.

Although cloud computing does improve business efficiency, cost savings, and competitive advantages, a sizable portion of the corporate community still operates without it. But as the amount of data grows, it becomes more and more challenging for individuals and organizations to keep all of their vital data, programs, and systems online and functional on internal computer servers. Given the size and importance of such data sets, it is essential to store them in the cloud, which is a secure place. When businesses use the cloud to store their data, they have more options to use big data. 

The increase in the internet of things adoption and the expansion of the global market for infrastructure as a service are the key market drivers for the growth of big data. 

Let us look at how Big data and  Cloud computing are compatible with each other and at their combined benefits for organizations worldwide. 

What are Big data and Cloud computing? 

You must first have a fundamental understanding of Big Data and Cloud Computing to comprehend the advantages of both technologies and why they are frequently combined.

In plain English, “big data” refers to a sizeable amount of data measured in terabytes, petabytes, or even higher. Data can be structured and unstructured and may be so large that it cannot be processed using standard database and software processing methods. 

On the other hand, cloud computing involves accessing and storing data files and programs via the internet rather than the local computer’s hard drive, which is tedious, time-consuming, and expensive. Cloud computing enables the storage of a significant amount of data thanks to its scalability, fault tolerance, and availability. As a result, cloud computing enables Big data to be accessible, scalable, and fault tolerant.

Why Big data and Cloud computing are Winning Combinations 

What if you want to choose your favorite book from a room full of books but aren’t exactly sure where it might be? You’ll either give up and start buying or renting the same book after searching for the book for a while. The exact issue that many businesses face is that they have a lot of data and cannot store it in a way that allows them to access it whenever they need it easily. This is where big data and cloud computing come into play.

The combination of big data analytics and cloud computing provides a solution that is both scalable and accommodating for big data and business analytics. 

Let’s examine a few advantages that big data analytics and cloud computing have.

  • Reduction of Cost with Big data in the Cloud

Cloud computing is the solution for any business that wants to run its operations with cutting-edge technology. But suppose you are concerned about the cost of moving to cloud computing. In that case, you are not alone, as the initial expense of establishing a cloud-based server is a worrying subject for many organizations. It is preferable to make a single investment in the cloud instead of spending millions on servers. Maintaining a big data center to carry out big data analytics can consume your entire IT budget.

Organizations now have the choice to forego making significant investments in creating an IT department and maintaining hardware infrastructure. With cloud computing, the company only has to pay for the storage space and power used; the responsibility of data storage is transferred to the cloud providers. Isn’t that useful and practical for businesses? 

  •  Assured security and Data protection 

Data security and privacy are the two important factors to be considered when working with a company’s data. Furthermore, security becomes a key factor when your application is on a cloud platform because of the minimal user controls and open environment. System integrators offer a more flexible and scalable private cloud solution. 

Since data is encrypted as it moves through the network, hackers have a harder time obtaining it. Most cloud-based services allow users to specify different security levels based on their needs.

  •  Quick and Easy 

The outdated, overly complex method of managing and storing data is making infrastructure setup both expensive and time-consuming because setting up, running, and maintaining a server can take weeks. With the help of cloud computing, it is possible to provide an infrastructure with all the required resources. 

  •  Helps make Analysis better 

Big data analysis has improved thanks to the significant development of cloud technology, which has led to better findings. Many cloud-based storage options include built-in cloud analytics for a detailed data view. Companies can quickly deploy tracking systems and design customized reports to analyze data across the entire organization with data in the cloud. 

Based on these findings, efficiency can also be increased, and action plans can be made to achieve organizational goals. For this reason, big data and cloud computing are chosen by many organizations. 

  • Ever Expanding 

The cloud platform has no limits and can dynamically expand to provide storage for ever-increasing data. Storage space can be increased or decreased on the cloud platform based on the insights gathered about the data present. 

Final thoughts

Cloud computing provides organizations with a cost-effective and flexible way to access a large volume of information called big data. Because of big data and cloud computing, it is now easier to run an organization. With the exponential increase in big data quantities, I am sure that the cloud is the way of the future for data analytics.


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