Although data science has enormous business advantages, it can be quite expensive. Cloud computing offers an affordable answer for data scientists who require access to a lot of computer capacity but don't want to construct or maintain expensive tools. Cloud computing reduces costs and frees up time for data scientists to focus on their work rather than managing servers.
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What is Cloud Computing?
Access to shared pools of reconfigurable computing resources, such as networks, servers, storage, applications, and services, is made possible via cloud computing. Users of cloud-based computing do not maintain the hardware infrastructure or data centers on their premises; rather, a cloud service provider does so and makes it available to users in an on-demand self-service model. Cloud services deliver software applications and system-to-user communication via the Internet.
Modern IT service consumption has undergone tremendous change due to cloud computing. This advanced technology has also significantly decreased operational costs, helping organizations enhance productivity and efficiency.
Role of Cloud Computing in Data Science
It is an essential factor to consider when developing a data science product. You must think about how you will handle, store, and analyze the data.
The most popular method of storing and processing data in data science is cloud computing, which is only one method of doing this and has the ability to grow through elasticity. Because all your data is stored somewhere other than where it is being processed or examined, the cloud can offer greater protection than on-premises solutions.
Since everyone has access to the same version of your information at all times, team collaboration is also possible thanks to cloud computing. Doing this eliminates the hassle of file sharing between various programs or teams collaborating on a project. Instead, everything is done in real time using HTTP/HTTPS protocols and APIs, facilitating cooperation.
Data as a Service (DaaS): What Is It?
Data storage and access are provided by the cloud computing utility known as "data as a service" (DaaS). It remotely stores copious quantities of unprocessed, structured, or unstructured data, typically in the cloud. Combining the company's storage requirements in one place can help businesses conserve server space and boost total productivity.
Additionally, this kind of answer makes it simpler for businesses to get the information they require when they need it. The various forms of DaaS include:
Main Cloud Platforms
The number of companies providing cloud computing as a service is increasing along with cloud computing's popularity as a business trend. Here are the top3 systems in use today.
Google Cloud Platform (GCP)
The Google Cloud Platform (GCP) is a cloud computing utility that offers business products, platform services, and infrastructure services.
It provides various services for creating, evaluating, deploying, and managing web apps. The Google Cloud Platform's collection of tools enables users to develop new apps or use already existing ones. It also has data analytics features that let users examine their data to learn more about how well their businesses are performing.
Amazon Web Services
Amazon Web Services (AWS) is a public cloud provider and is the biggest provider of cloud computing services, with a market share of over 50% in 2022. AWS has added new features like cross-region high availability and network load balancing to its product to make it more competitive with Microsoft Azure.
Amazon Web Services (AWS), a division of Amazon.com, offers people and companies on-demand cloud computing platforms through its own website.
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IBM Cloud
The platform IBM Cloud offers has the resources and equipment required to create, distribute, and administer applications. It is an illustration of a PaaS.
As a software-as-a-service, IBM Cloud has been around for more than 15 years. (SaaS). IBM made plans for the IaaS iteration of cloud computing public in 2019. Thanks to the new service, customers can use IBM's data centers or their own premises to launch workloads. IBM also provides hybrid cloud capabilities, allowing users to select the location of their data based on what suits them best at any given moment
Characteristics of Cloud Computing
A convenient way to provide network access to a common pool of reconfigurable computing resources, such as storage, network, servers, applications, and services, is through cloud computing. These can be rapidly released and provisioned with little involvement from management or service providers.
Here are a few of the Characteristics of cloud computing:
- On-demand self-services: Users of cloud computing services can supply, monitor and manage computing resources as necessary without the assistance of human administrators.
- Broad network access: A wide range of hardware and established networks are usually used to deliver computing services.
- Rapid elasticity: The IT resources for the computing services should be able to scale up and down quickly as required. When a user requests a service, it is delivered to him, and once that service's demand is met, it is scaled out.
- Resource pooling: Ad hoc sharing of the available IT resources (such as networks, servers, storage, apps, and services) by several users and applications.
- Resilient computing: Redundancy and fault tolerance are frequently considered when designing cloud computing services, ensuring high uptime and dependability.
- Flexible pricing structures: Cloud service providers provide a range of pricing structures, including pay-per-use, subscription-based, and spot pricing. Users can select the model that best fits their requirements.
- Security: To safeguard the privacy of sensitive data and their users' data, cloud providers significantly engage in security measures.
- Automation: Cloud computing services frequently feature a high level of automation, enabling users to deploy and handle resources with little to no manual input.
- Sustainability: To lessen their environmental effect, cloud providers are putting more emphasis on sustainable practices like using renewable energy sources and energy-efficient data centers.
Future Trends in Cloud Computing
As the benefits of cloud computing are better understood, this business trend will only increase. Organizations and data scientists can use the ever-growing amount of data accessible from various sources to their advantage through cloud computing. Better and quicker-than-ever decision-making procedures will result from this. Sign up for the most comprehensive Data Science course in Pune and master the cutting-edge tools used by data science worldwide.
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As the Internet of Things and associated devices becomes more prevalent in our discussions around digital transformation, there are a lot of solutions being brought forward for how and where these IoT devices will be hosted and stored. While cloud computing is often recommended as a good solution, there is a new infrastructure concept that is proving as a better choice, called edge computing. These two solutions are sometimes discussed interchangeably as if they are exclusive to one another but utilizing one does not preclude the other as they function in different ways. The current impression is that edge computing is likely to replace cloud architectures altogether, however, it is more like that edge computing will be utilized in specific use cases where it delivers superior results.
