Combining Big Data and Cloud Computing: The Perfect Combination

Cloud computing and big data are two of the most popular IT keywords. These technologies are common to professionals working in cloud app development. These technologies can be used in conjunction with other public cloud services and solutions that perform big data analysis.
These technologies are fundamentally different. Big Data is concerned with the huge amounts of data that are produced and processed each day. Cloud computing is a platform infrastructure that allows users run programs and solutions without any hardware restrictions. Their widespread adoption at the enterprise level is due to the simplification of both Big Data computing and cloud computing.
Definitions – Big Data & Cloud Computing:
Big Data:
Big data refers the large amounts of data and data sets generated by a variety of programs and platforms. It includes any type of data and dataset that is generated in varying sizes. This data is often too large to be accessed or questioned using a standard computer system.
Cloud Computing
Cloud computing is the process of operating data, files, and analytics on a cloud platform. The cloud is a term for a number of powerful servers that are managed by a service provider. Cloud computing allows you query and view large data sets faster than any regular computer system.
Combining these technologies can help enterprises produce superior output. Both Big Data and cloud computing remain in their infancy and are still being developed. Combining both of these can make big data analytics cost-effective and scalable.
If you are looking for a solution that is result-driven, Big Data and Cloud computing are the right combination. They solve many problems together, and they also create new ones.
Relationship between Big Data and Cloud Computing
Both of these technologies are groundbreaking individually and together. Many businesses are looking to combine them to increase output and explore new opportunities. Both cloud computing and big data are geared towards boosting business revenues and lowering the initial investment cost. Big data allows for better business decisions, while cloud computing allows for local software solutions to be managed.
Big Data:
Big Data can store and process large amounts of structured, semi-structured, and unstructured data in order to perform data analysis. Five key features of Big Data can be summarized as the 5 V’s. These are:
Volume: The amount produced

Variation: The types of data generated

Velocity is the rate at which data flows in the system

Value is the information in the data and its inherent worth

Veracity: Data availability and confidentiality

Cloud Computing Services
Cloud computing is available to businesses that use a pay-as you-go model. These primary solutions are offered by all cloud service providers, in addition to other offerings.
Infrastructure as a Service (IaaS).
The cloud provider provides all infrastructure and maintenance tasks.
Platform as a Service (PaaS).
The cloud service provider offers resources such as runtimes, object storage, and databases to businesses. However, it is up to the customer to implement and configure.
Software as a Service (SaaS).
A cloud provider can offer all the infrastructure and setting necessary for SaaS.
Cloud Computing and Big Data:
According to the type and nature of the services, cloud computing and Big Data can be classified.
IaaS in Public Cloud:
Big Data solutions, which use this cloud service, allow users unlimited storage and compute power. It is cost-effective for businesses if the cloud provider bears the hardware costs.