Vishal Agrawal Product Technical Architect Infosys Tech Ltd Anand Govindarajan Principal Technology Architect Infosys Tech Ltd Current state of BI systems Key characteristics High infrastructure requirements ID: 503489
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Slide1
BI in the Cloud – Sky is the limit
Vishal AgrawalProduct Technical ArchitectInfosys Tech Ltd
Anand Govindarajan
Principal
Technology
Architect
Infosys Tech LtdSlide2
Current state of BI systems
Key characteristicsHigh infrastructure requirementsUnpredictable load
High upfront investment
High development & maintenance costs
Longer duration for provisioning
Dependency on IT
Issues
Limited adoption
Longer cycle time for BI application
Restricted AvailabilitySlide3
Cloud BI systems
BenefitsUtility model of computingLower entry and maintenance costs
Massive
processing power on-demand
Faster
time to
develop applications
Reduced Risk
Multiple ways to consume the BI
capability
Multiple deployment and delivery modelsSlide4
Cloud BI Systems
ScenariosShort lived BI projectsQuick
prototyping
BI systems for
small
& medium businesses
Enterprise BI applications
Data mining
Custom
applications (e.g.
Web 2.0, Mobile application etc)Slide5
Cloud BI
delivery models Public Cloud
SaaS (Software as a Service)
PaaS
(Platform as
a Service)
IaaS
(Infrastructure
as a Service)
Private Cloud
Hybrid CloudSlide6
Cloud BI delivery models
Public cloud - SaaSKey characteristicsPrepackaged
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)
Multiple vendors available to choose fromSlide7
Cloud BI delivery models
Public cloud - SaaSChallengesSecurity
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
BI systems for small & medium
businessesSlide8
Cloud BI delivery models
Public cloud - PaaSKey characteristicsEnabling 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
Choice of multiple vendorsSlide9
Cloud BI delivery models
Public cloud - PaaSChallengesNeed to design & develop the application
Security
Usage scenarios
Custom applications
Enterprise BI systems
BI systems for small & medium businesses
Data Mining
Prototyping
Short lived BI projectsSlide10
Cloud BI delivery models
Public cloud - IaaSKey characteristicsDeploy 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)
Low upfront
costsSlide11
Cloud BI delivery models
Public cloud - IaaSChallengesManageability
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
Short
lived BI projectsSlide12
Cloud BI delivery models
Private cloudKey characteristicsDeploy 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
Complete control on the securitySlide13
Cloud BI delivery models
Private cloudChallengesManageability
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
Short lived BI
projectsSlide14
Cloud BI delivery models
Hybrid cloudKey characteristicsDeploy 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)Slide15
Cloud BI delivery models
Hybrid cloudChallengesManageability
Need to design, develop the solution (more development time)
Building horizontal scaling in the application
Usage scenarios
Enterprise BI systems
Data mining
Prototyping
Short lived BI
projectsSlide16
Current State of the BI market place
SaaSGood data, Pivotlink, LogiXML
, Pentaho
PaaS
Business Objects, SAS,
Microsoft Azure
, Vertica,
Greenplum,
Google appsSlide17
Current State of the BI market place
IaaSInfrastructureAWS, Rackspace, GoGrid
Cloud Management
Elastra, Rightscale
DB/DW
MySQL, Oracle, SQL server
,
BI
JasperReports,
PentahoSlide18
Conclusion
Cloud BI is set to change the BI landscapeLower the entry barriers for the organizationsResult
in much better
adoption of
BI systems
Result in new
innovationsSlide19
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/implementing-bi-in-the-cloud.aspx
BI SaaS Vendors Are Not Created Equal -
http://www.information-management.com/blogs/business_intelligence_bi_software_as_a_service_saas-10016138-1.htmlSlide20
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