Cloud Computing / Enterprise Analytics and search in Cloud computing
Enterprise Analytics and search
Cloud Search allows user to search and retrieve information (documents, database fields, and CRM data). After search we can get the analytics of search.
Enterprise search:
It allows user to search and retrieve information (documents, database fields, and CRM data) , from the company repositories. After search we can get the analytics of search.
Google Cloud Search implementation / Key components of Google Cloud Search
|
Repository |
It is a place
of central location where enterprise data is stored and managed. |
| Data source |
Repository
that has been indexed and stored in Google Cloud Search. |
| Search interface |
It is a widget
used to search from a data source using computer / phone /any smart device. |
| Search application |
Used to set
Search interface settings. |
| Schema |
It is a data
structure of enterprise’s repository |
| Content connector |
Used to
traverse data populate a data source. |
| Identity connector |
A software
program used to sync users and groups. |
6 Elements of Analytics /Components of Cloud Analytics
|
Data sources |
Include ERPs, CRMs, social media data, or website usage data. |
|
Data models |
It is a simplification of reality of data could be. |
|
Processing applications |
Hadoop is a popular application for data processing. |
|
Computing power |
Structure, clean, analyze, and serve business data. |
|
Analytic models |
Used to predict outcomes and require strong computing power to create. |
|
storage |
Data warehouses as a service enable organizations to quickly implement modern
analytics architecture and easily scale. |
Cloud Analytics Types
|
Deployment Models |
Systems & Services Accessible By |
Security(reason) |
|
Public Cloud |
General public. |
less secure (Openness) |
|
Private Cloud |
Within an organization. |
More secure(private nature) |
|
Hybrid Cloud |
Public and private cloud people. |
Less(public) / More(private) secure. |
Benefits of Cloud Analytics
|
Enterprise data consolidation |
To Create prediction models it uses online services for data
mining and analytics. |
|
Ease of access |
Cloud Data is accessed by internal and external users based on access control
rights of the users. |
|
Sharing and collaboration |
Users can transfer files easily. |
|
Reduced operating costs |
It reduces the cost due to internal analytics. |
|
Scalability |
Scale up and down of cloud resources can be done easily. |
Cloud Analytics Challenges
|
Performance |
Cloud analytics hybrid approach increases the uptime and decrease the downtimes. |
|
Data security |
Organization has to managing risk for the data in the cloud. |
|
Migration |
Moving of data from one cloud to other is time-consuming and expensive. |
|
Right skill sets for cloud Analytics |
For managing the cloud analytics training and hiring of people is required on
technology and its changes. |
|
Managing cost |
Pay per use basis organizations scale resources. |
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