In the IT business, big data and cloud computing are both popular and long-term technologies. The term “big data” is becoming increasingly common in the industry. Because of the increasing amount of data from many sources, large corporations demand the big data system. Big data and cloud computing are not interchangeable terms; they are distinct. Let’s start with the characteristics of big data.

 

In the IT business, big data and cloud computing are both popular and long-term technologies. The term “big data” is becoming increasingly common in the industry. Because of the increasing amount of data from many sources, large corporations demand the big data system. Big data and cloud computing are not interchangeable terms; they are distinct. Let’s start with the characteristics of big data.

 

Big Information

 

Big data is one of the most commonly used terms nowadays. The term implies that it holds a large amount of information. Apart from storing data, it also allows for the collection, storage, organization, and analysis of data from multiple sources.

 

Big data is made up of a large amount of data that might be structured, semistructured, or unstructured. It explains how to turn all of this data into useful knowledge that can help the company make better decisions. The following characteristics make up big data.

 

The volume, diversity, and velocity of data are all contained in big data. The amount of data in big data is enormous. Exabytes, petabytes, and other data sizes are common in big data. Keep in mind that there are numerous data sources for big data. Sales records, R&D department reports, competition reports, and internet information are among the sources of data.

 

Because the data is collected from diverse sources, it may not always be in structured form. Big data examines information at breakneck speed. Big data is used in artificial intelligence and machine learning because of its high velocity.

 

Using the Cloud

 

The name alone explains what cloud computing is. It is the internet-based technology for storing and accessing data and applications. Cloud computing is not the same as big data because you cannot have your own personal resources.

 

 

 

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Category: Cloud Computing

 

Software-as-a-Service (Software As A Service)

 

Sass is a well-known cloud computing framework. Many businesses use SaaS to provide services to their clients. A software is installed on the company’s main server, and consumers access it via their computers or other internet-connected devices. The best example of SaaS is Moz. It’s a cloud computing system that runs on the internet.

 

Internet-as-a-Service (Infrastructure as a Service)

 

Companies supply users with storage space on their computers in this sort of cloud computing. According to the conditions of the company, the user is given a set quantity of space. The user can arrange the file in any way they like. It’s similar to local storage, with the exception that this storage space is given over the internet. IaaS is best demonstrated by Google Drive and Dropbox.

 

Platform as a Service (PaaS)

 

PaaS is one of the most widely used cloud computing services. It provides customers with a platform to develop applications using tools provided by the Paas corporation. The software is simple to use for the users. Amazon Web Services is one of the most well-known PaaS examples (AWS).

 

Database as a Service (Daas)

 

One of the fastest-growing types of cloud computing is DaaS. It allows users to access the database. Users can access the information without having to purchase the complete database. The nicest feature about DaaS is that the data in this database does not need to be updated. The data will be automatically updated by the DaaS providers at regular intervals. Xignite is one of the world’s most well-known financial database suppliers.

 

Containers as a Service (CaaS)

 

Containers as a Service is what CaaS stands for. With each passing year, it grows in popularity. Cloud providers provide container engines, container orchestration, and underlying computing resources as a service in this sort of service. The best CaaS examples are Google Container Engine and Azure.

 

To summarize,

 

We’ve now examined the properties of both cloud computing and big data in depth. Big data is a big collection of data, but cloud computing is all about storing and retrieving enormous amounts of data through the internet. We can claim that big data is used to make data-driven decisions. Cloud computing, on the other hand, is the use of data from other people’s computers over the internet.