Cloud data center doesn’t require experts to operate it, but it requires skilled people to see the maintenance, maintain the workloads and to keep the track of the traffic. The labor cost is 6% of the total cost to operate the cloud data center. Power distribution and cooling of the datacenter cost 20% of the total cost. Computing cost is at the end and is the highest as it is where lots of resources and installation has to be done. It costs the maximum left percentage.

Security is one of the major aspects which come with any application and service used by the user. Companies or organizations remain much more concerned with the security provided with the cloud. There are many levels of security which has to be provided within cloud environment such as:

• Identity management: it authorizes the application service or hardware component to be used by authorized users.

• Access control: permissions has to be provided to the users so that they can control the access of other users who are entering the in the cloud environment.

• Authorization and authentication: provision should be made to allow the authorized and authenticated people only to access and change the applications and data.

API stands for Application programming interface is very useful in cloud platforms as it allows easy implementation of it on the system. It removes the need to write full fledged programs. It provides the instructions to make the communication between one or more applications. It also allows easy to create application with ease and link the cloud services with other systems.

Cloud computing consists of 3 layers in the hierarchy and these are as follows:

1. Infrastructure as a Service (IaaS) provides cloud infrastructure in terms of hardware like memory, processor speed etc. 

2. Platform as a Service (PaaS) provides cloud application platform for the developers. 

3. Software as a Service (SaaS) provides cloud applications which are used by the user directly without installing anything on the system. The application remains on the cloud and it can be saved and edited in there only.

Data warehouse

- It is a decision support database system for the purpose of organizational needs. 

-It is non volatile, integrated and time variant collection of data

Operational Data Stage

- It is an integrated collection of information. 

-It can contain 90 days of information at maximum.

-ODS supports dynamic data.

Datastage has two components

-Client Components – Designer, Director, Manager and Administrator

-Server Components – Server, Repository and Plug-ins.

Following are the data integration factors:

- Sub set of the available data should be optimal. 

- Noise/distortion estimation levels because of sensory/processing conditions at the time of data collection.

- Accuracy, spatial and spectral resolution of data.

- Data formats, storage and retrieval mechanisms.

- Efficiency of computation for integrating data sets to reach the goals.

Following are the benefits of data integration:

- Makes reporting, monitoring, placing customer information across the enterprise flexible and convenient.

- Data usage is efficient.

- Cost Effective.

- Risk adjusted profitability management as it allows accurate data extraction.

- Allows timely and reliable reporting, as data quality is the prime technology for business challenges.