BI in the Cloud Sky is the limit

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BI in the Cloud – Sky is the

limit

Vishal Agrawal

Product Technical

Architect

Infosys Tech Ltd

Anand Govindarajan

Principal Technology

Architect

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Current state of BI systems

Key characteristics

– High infrastructure requirements

– Unpredictable load

– High upfront investment

– High development & maintenance costs

– Longer duration for provisioning

– Dependency on IT

Issues

– Limited adoption

– Longer cycle time for BI application

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Cloud BI systems

Benefits

Utility model of computing

Lower entry and maintenance costs

Massive processing power on-demand

Faster time to develop applications

Reduced Risk

Multiple ways to consume the BI capability

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Cloud BI Systems

Scenarios

Short lived BI projects

Quick prototyping

BI systems for small & medium businesses

Enterprise BI applications

Data mining

Custom applications (e.g. Web 2.0, Mobile

application etc)

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Cloud BI delivery models

Public Cloud

– SaaS (Software as a Service)

– PaaS (Platform as a Service)

– IaaS (Infrastructure as a Service)

Private Cloud

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Cloud BI delivery models

Public cloud - SaaS

Key characteristics

– Prepackaged end to end BI solution on the cloud

– Easy management

– Easy integration of the enterprise and external data

– Unlimited auto scaling

– Easy to implement (within days, weeks)

– Business focus (CRM)

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Cloud BI delivery models

Public cloud - SaaS

Challenges

– Security

– No flexibility in choosing vendors for specific parts of your solution

– No flexibility in design

– Not suitable for custom applications

Usage scenarios

– Short lived BI projects

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Cloud BI delivery models

Public cloud - PaaS

Key characteristics

– Enabling platform available on the cloud

– Pay per use for the services

– Unlimited on demand scaling

– Automated software updates

– Flexibility in design

– Focus only on the design, development

– Low entry costs

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Cloud BI delivery models

Public cloud - PaaS

Challenges

– Need to design & develop the application

– Security

Usage scenarios

– Custom applications

– Enterprise BI systems

– BI systems for small & medium businesses

– Data Mining

– Prototyping

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Cloud BI delivery models

Public cloud - IaaS

Key characteristics

– Deploy own solution on the cloud

– Pay for the Infrastructure used (Need not procure the hardware)

– Unlimited on demand scaling

– Complete Flexibility in design

– Easier Cloud porting

– Best of Breed solutions (can choose best options for – Infrastructure, DB, BI)

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Cloud BI delivery models

Public cloud - IaaS

Challenges

– Manageability

– Need to design, develop the solution (more development time)

– Need to pay upfront software licensing fee

– Building horizontal scaling in the application

Usage scenarios

– Enterprise BI systems

– Data mining

– Custom Applications

– Prototyping

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Cloud BI delivery models

Private cloud

Key characteristics

– Deploy the solution on the private cloud (own data center)

– On demand scaling

– Save the Infrastructure cost (by sharing the resources across applications)

– Complete Flexibility in design

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Cloud BI delivery models

Private cloud

Challenges

– Manageability

– Need to design, develop the solution (more development time)

– Building horizontal scaling in the application

– Higher upfront cost

Usage scenarios

– Enterprise BI systems

– Data mining

– Prototyping

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Cloud BI delivery models

Hybrid cloud

Key characteristics

– Deploy the predictable load on the private cloud (own data center)

– Push unpredictable spikes on the public cloud

– On demand scaling

– Optimize the Infrastructure cost

– Complete Flexibility in design

– Better control on the security (keep the confidential data in the private cloud)

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Cloud BI delivery models

Hybrid cloud

Challenges

– Manageability

– Need to design, develop the solution (more development time)

– Building horizontal scaling in the application

Usage scenarios

– Enterprise BI systems

– Data mining

– Prototyping

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Current State of the BI market place

SaaS

– Good data, Pivotlink, LogiXML, Pentaho

PaaS

– Business Objects, SAS, Microsoft Azure, Vertica, Greenplum, Google apps

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Current State of the BI market place

IaaS

– Infrastructure

• AWS, Rackspace, GoGrid – Cloud Management

• Elastra, Rightscale – DB/DW

• MySQL, Oracle, SQL server, – BI

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Conclusion

Cloud BI is set to change the BI landscape

Lower the entry barriers for the organizations

Result in much better adoption of BI systems

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References

• The Case for Data Warehousing-in-the-Cloud -

http://esj.com/articles/2009/06/17/dw-cloud.aspx

Business Intelligence in the Clouds -

http://www.information- management.com/infodirect/2009_111/10015046-1.html

• When to Implement BI in the Cloud -

http://portals.tdwi.org/blogs/wayneeckerson/2009/06/i mplementing-bi-in-the-cloud.aspx

• BI SaaS Vendors Are Not Created Equal -

http://www.information-management.com/blogs/business_intelligence_bi_soft ware_as_a_service_saas-10016138-1.html

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© 2009 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions,

it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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