Cloud computing permits new level of agility for developers, data scientists and IT by providing a pay as you go model with unlimited scalability and no hardware cost. Analytics is one of the most important business functions that basically fit for public and hybrid clouds. Companies are turning to cloud based analytics for easier access to increasing amounts of data, greater data sharing and collaboration, faster insights and time to value and to reduce operational cost.
What is cloud computing?
Cloud computing is the method of delivering technology to the consumers by using internet servers for processing and data storage. With the help of cloud computing we can do following things:
Create new apps and services.
Store, backup and recovery of data.
Host websites and blogs.
Stream audio and video.
Deliver software on demand.
Analyze data for patterns and make predictions.
Hence, cloud computing technology eliminates capital expense of the business of buying software and hardware and setting up and running on-site data centers. This technology is also reliable, delivers better performance and enhances productivity as well.
Types of cloud services:
Infrastructure as a service (IaaS)
Platform as a service (PaaS)
Software as a service (SaaS)
Types of cloud deployments:
Private Cloud: This type of technology is used exclusively by a single business or organization. This is physically located on the company's on-site datacenter. Under this technology services and infrastructure are maintained on a private network.
Public Cloud: This technology is owned and operated by the third party i.e. cloud service provider, which delivers the resources over the internet. Microsoft Azure is an example of a public cloud.
Hybrid Cloud: Hybrid cloud technology is the combination of both public and private clouds. The hybrid technology provides business greater flexibility and deployment options.
Cloud computing and big data, are still at the development stage and they are providing to be the ideal combination. They deliver a cost effective and scalable infrastructure to support big data and business analytics.
Following are the reasons to leverage cloud technology:
Scale up the needs without hardware headache: The cloud enables the data processing power to be available in real-time. Cloud computing technology eliminates capital expense of the business of buying software and hardware and setting up and running on-site data centers.
Reduce innovation cost: Companies getting success with big data and cloud makes the perfect sense. Currently most of the businesses are experiencing the cloud technology because by leveraging this technology they can access to the resources without high cost investment.
Pay as you go: As per the requirement of the business they can use this technology, as the name suggests that this is pay as you go model. Basically they charge on the basis of usage.
Use the right machine for job: With the help of cloud technology the businesses can easily use the right resources for the job and provides the flexible solution to the problem of managing the variable requirements.
Simplify the operations: Cloud technology let organizations build new modes of doing business much more rapidly than traditional methods. Thus, cloud software delivers the flexibility to modernize and simplifies the business processes.
Hence, leveraging cloud technology into business is very useful. Companies who have accepted the cloud also love a greater competitive advantage because of simplified operations, greater connectivity between personnel and resources which roll-outs new business opportunities.