The Future of Cloud Computing
There’s no doubt that cloud computing is the future of IT infrastructure. Its scalability, ease of access and capacity for analysing vast amounts of data has made it integral to how businesses, organizations, and end-users use the internet.
Our goal at SpeakingofClouds.com is to assist everyone in keeping their options open when it comes to cloud computing. The more expertise and knowledge we gain about cloud computing, the more we would like to share it with you.
Why Cloud Computing?
In the cloud, you can access various kinds of technologies that make innovation limitless. Cloud computing allows you to immediately access IT infrastructure services, such as storage, databases, machine learning, analytics, and more.
It is incredibly scalable. As a pay-as-you-go or on-demand service type, you pay for what you use and leave the rest. That means that when the time is right, you can increase your services to meet your business’ growing demand. The simplest example of cloud computing’s elasticity is upgrading your monthly data storage.
Cloud Computing Services for Enterprises
In terms of business service models, the main cloud computing services are Software as a Service (Saas), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
- SaaS provides the end-user with a software product that they access on the cloud, which is managed and maintained by the service provider.
- Paas allows the end-user to access a platform without the need for hardware, software, or a specific operating system.
- IaaS is the first step in cloud computing, and provides access to cloud-based IT infrastructure, such as data storage and networking.
What Is Cloud Analytics?
Cloud analytics uses remote public or private cloud-computing resources for on-demand data analysis. The cloud gathers data, analyzes algorithms, and presents insights to improve decision-making through business intelligence analytics.
Cloud computing has facilitated research through data mining, which is the process of machine learning to uncover hidden patterns within large amounts of big data. The qualitative data has also been used in predictive modelling in politics, professional sports, law enforcement, and even national defence, particularly by data scientists like DJ Patil and statisticians like Nate Silver.