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• The cloud service provider is responsible for upgrading the cloud services
from time to time.

While cloud computing offers many facilities, the users are still concerned with
data security and data confidentiality. There have been many efforts to increase data
security in the cloud. One method to increase security is to split the data into several
parts and distributed the data into several data centers. This will make it difficult for a
hacker to get the whole data. Another method is to encrypt the data using a strong
encryption scheme. To ensure data confidentiality, data is saved as binary objects,
thus a hacker cannot determine the data original format.

Data Management in Cloud Computing

Data analysis is the most timeconsuming and laborintensive job of analytics
Performing analytics on large volumes of data requires efficient methods to store,
filter, transform and retrieve the data Cloud deployment models adopted by
different enterprises, where Clouds can be for instance
•Private deployedonaprivatenetwork,managedbytheorganizationitselforby
a third party A private Cloud is suitable for businesses that require the highest
level of control of security and data privacy

• Public deployed offsite over the Internet and available to the general public
Public Cloud offers high efficiency and shared resources at a low cost The analytics
servicesand data managementarehandledby the providerandthe quality of service
e g privacy, security, and availability is specified in a contract Organizations can
leveragethese Clouds to carry outanalytics with a reducedcost or share insights into
public analytic results

•CommunityCloud Inthecommunitycloud,theresourcesareusedbythewhole
community,i e bythegroupoforganizations Thiscloudisstructuredinsuchawaythat
it can be used by a particular group of consumers who have some concerns, such as
policy, securityrequirements,policy,etc A communitycloudishostedbya single or a
group of organizations, a third party, or a combination of both

•Hybrid combinesbothCloudswhereadditionalresourcesfromapublicCloud
can be provided as needed to a private Cloud Customers can develop and deploy
analytics applications using a private environment, thus reaping benefits from elasticity
and a higher degree of security than using only a public Cloud

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