Data usage has multiplied in every industry in recent years, and companies have started focusing on collecting extensive data sets. If analyzed smartly, data sets can up the game for any business.
However, because these data sets are sensitive and big, organizations must maintain them in an efficient but secure environment. And the safe environment is nothing but a cloud.
But what is the relation between these two technologies? What is the benefit of combing them? Why do people call it a perfect match?
If you have a similar question, then this article is for you. Find all your answers here.
Big data consists of high volume/variety/velocity of information assets that can help businesses in multiple ways if analyzed precisely. An organization or business can collect data from various platforms like social media handles, websites, or even chatbots.
One of the best examples of data set usage is Amazon. Amazon uses big data to locate the nearest warehouses to customers, understand their customer preferences, etc.
All of this helps Amazon provide satisfactory services to its customers while multiplying its sales.
Hence, massive data sets provide access to valuable information that would otherwise be inaccessible.
Cloud computing is a practice of storing and accessing data, files, and applications over the Internet. It eliminates the need to store data locally on a computer’s hard drive.
It is a flexible, distributed resource environment that uses advanced data processing and management techniques while reducing costs.
In short, it provides users with on-demand storage, retrieval, and data processing facilities.
Moreover, a cloud platform is capable of dynamically expanding to store more and more data. Hence, the cloud allows customers to process big data without large-scale big data resources. In addition, cloud computing systems enable small enterprises to store and manage data without having to invest heavily in infrastructure.
Traditional storage cannot match the needs of big data management and data sharing between diverse distributed storage. Hence the cloud is evolving to give solutions for different big data environments.
Despite the fact that they are two different technologies, they work together to provide meaningful results.
Cloud computing gives the ability to store massive volumes of data through scalability, elasticity, and availability thanks to hardware virtualization. It is also possible because it uses a data partitioning approach to store data in many locations or availability zones. Additionally, cloud computing platforms may also use data science for small business data handling.
Without cloud computing, it would not have been possible to leverage data in this way.
Hence, cloud computing is an essential component that enables companies to capture significant ROI from big data analytics. And businesses can significantly benefit from the insights gained from big data analytics backed by cloud infrastructure.
Recent trends have shown that the combination of these two technologies can yield exemplary results. Think of big data as the content and cloud computing as a flexible storage unit.
Big data and cloud computing bring together the capabilities of two different technologies. And this combination makes IT infrastructure and related applications more dynamic, usable, and modular.
Additionally, using cloud computing with big data offers a scalable and flexible solution for big data and business intelligence. And this is one reason why it is a perfect combination
Here are some reasons to show why these two are a perfect combination:
Cloud helps you in integrating data from various resources. As a result, you can easily analyze data while utilizing cloud computing’s advanced capabilities.
As mentioned earlier, it is simple to manage the workload as cloud computing provides a versatile infrastructure. As a result, you won’t have to worry about data arriving at different speeds or in varying quantities.
Buying and maintaining a dedicated data center for analyzing data for your business can be very expensive. It requires both money and technical specialization for management.
However, with cloud computing, you won’t have to worry about the management as it is the provider’s headache. Hence, you can save a considerable amount of money by shifting to cloud data storage.
Implementing Big Data solutions can be time-consuming and complex as many components have to be integrated. However, with cloud computing, you can reduce this complexity via the automation of these components. It will also enhance your team’s productivity.
The combination of cloud computing and big data analytics brings enormous benefits. It also increases the efficiency of both these technologies, which can complement each other.
Although they are not the same, the combination of both technologies can produce great results.
So, if you are planning to benefit from these two technologies, contact Emerge IQ, the best platform for machine learning related services. They provide multiple AI and data science-driven solutions for their customers. Check out their service to know more.
