Business Intelligence and Cloud Computing

7/30/2019 Business Intelligence and Cloud Computing

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Martin Demker

BUSINESS INTELLIGENCEAND

CLOUD COMPUTING

1 Buzzword Cloud Computing

2 Attributes of Cloud Computing

3 Layers of Cloud Computing

4 Cloud Infrastructure

5 Risks of Cloud Computing (1)

6 Risks of Cloud Computing (2)

7 Benefits of Cloud Computing for BI

8 Impact of Cloud Computing on BI

9 BI in the Cloud Today

10 The Future of BI in the Cloud


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Martin Demker Page 2/12

1 BUZZWORD CLOUD COMPUTING

Cloud Computing is a

relatively recent term

The technology itself is

nothing new

Used as a buzzword to

generate hype

No common definition, distinction to

grid computing and virtualization

not clear to everyone

Hype not over yet according

to Gartner

Image 1 [trnd]

References: [dck] Image 2 [grtn1]


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2 ATTRIBUTESOF CLOUD COMPUTING

Service-based: consumer concerns abstracted from provider

concerns; interfaces hide the implementation details; "ready

to use" and "offthe shelf

Scalable and Elastic:service scale capacity up or down to

meet demand

Shared: services share a pool or resources to optimize

economies of scale; better resource utilization

Metered by use:plans based on the amount of service used

by the consumers

Uses Internet Technologies:based on existing standards

(URLs, HTTP, IP, )

References: [grtn2]


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3 LAYERSOF CLOUD COMPUTING

References: [ccj]

Software-as-a-Service (SaaS): customer gets access to ready-made software, everythingis managed by the cloud provider (e.g. Salesforce, Gmail, )

Application-Components-as-a-Service (A-CaaS): personalized PaaS components whichcan be integrated by the user into higher-level applications in the SaaS layer

Application

Platform-as-a-Service (PaaS): customer gets access to a solution platform, develops and

manages own application on top of that platform (e.g. Force.com, Google App Engine,Windows Azure, )Plattform

Infrastructure-as-a-Service (IaaS): customer gets access to a virtualized hardwaresystem, manages software himself (e.g. Amazon EC2, Amazon S3)Infrastructure

Based on many loosely coupled and distributed computers built with commodityhardware

Software used to achieve parallelization and avoid hardware failures

Virtualization &Hardware


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4 CLOUD INFRASTRUCTURE

Infrastructure is built using cheap hardware

Hardware failures will occur

Bandwidth of one single node is not very high

Virtualization used to hide the hardware implementation

Data-parallel programming model required to allow

scalability and fault-tolerance

Well known solutions: Google MapReduce / Apache Hadoop

Distributed file system ensures fault-tolerance

Processing jobs are split into map and reduce tasks, which can be

executed in parallel on different nodes, if a task fails or takes too

long it is repeated on another node

Used at: Google, Facebook, Amazon, Yahoo!, References: [brkl]


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5 RISKSOF CLOUD COMPUTING (1)

Authentication / Privileged user access: danger of outside

party access to data

Regulatory compliance: requirements for privacy and

security of sensitive data

Data location: data distributed beyond control, country /

jurisdiction not clearly defined

Data segregation: data is stored alongside data from other

customers, has to be separated and protected from them

(e.g. through encryption)

References: [grtn3] [itex]


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6 RISKSOF CLOUD COMPUTING (2)

Integration with internal systems:some (strategic) systems

cant be outsourced, have to interface with the cloud; may

lead to huge data transfers

System availability: no control over the cloud, uncertainty

about availability of system

Long-term viability / business continuity: cloud vendor could

go bankrupt or be acquired

Recovery: restoration ability of cloud provider unclear

Investigative support: maybe impossible to investigate errors

or illegal activity in the application due to system architecture

References: [grtn3] [itex]


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7 BENEFITSOF CLOUD COMPUTINGFOR BI

Lower costs & usage billing:no huge up-front investment for

hardware and software needed; pay only as much as you use

Fast deployment, low maintenance: cloud BI platforms can

be up and running in a matter of minutes; maintenance is

done by the cloud provider

Scalable provisioning of resources: BI applications show

different work load over time (e.g. analytics during the day,

ETL during the night); the cloud dynamically allocates

resources where they are needed

On-demand resource improvements: when DW capabilities

need to be expanded, this can be done without interrupting

daily operationsReferences: [mit]


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8 IMPACTOF CLOUD COMPUTINGON BI

Easier evaluation of new technology: allowing faster BI

technology adoption

Increased short-term ad-hoc analysis: when short term

needs arise, they can be easily implemented in the cloud and

be canceled after the necessary period (no leftover HW/SW)

Increased flexibility: no long-term commitments

individual business units can fund more data mart projects

Growth considerations: data volume increases database

architecture required that can handle large volumes and the

changing analytics workloads and still provide high

availability; cloud architecture is well suited for that

References: [ijcte]


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9 BI INTHE CLOUD TODAY

Megavendors (SAP, Oracle, MS, IBM) continue to control

majority of BI market share/revenue

All of them working on SaaS offerings; product maturity not

very high yet; development focus on hybrid solutions (part of

the data in traditional systems, part in the cloud)

Many emerging vendors trying to compete with diverse

product range

Customer BI platform SaaS adoption currently very low, but

rising

References: [grtn4]


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10 THE FUTUREOF BI INTHE CLOUD

Cloud BI expected to grow in the coming years

Factors that might lead to faster cloud BI adoption:

Rapid growth of data volume; incorporation of diverse data from

outside of the corporate data sources (especially social networks)

Ease of usebecoming more important; intuitive and fun user

interfaces required; business users want to explore data without

relying on IT (data mashup)

Mobile availability of BI solutions; access to data from outside of the

company using smartphones and tablets

Cloud Computing and Business Intelligence consistently high-

ranked on Gartners list of top strategic technologies for the

last few years; trend likely to continue

References: [ijcte] [grtn4]


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REFERENCES

[trnd] http://www.google.de/trends/?q=cloud+computing,+grid+computing,+virtualization&ctab=0&geo=all&date=all&sort=0, Last checked: 31.01.2012

[dck] http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/, Last checked: 31.01.2012

[grtn1] Gartner, Hype Cycle for Cloud Computing, Stamford, July 2011

[grtn2] Gartner, Gartner Highlights Five Attributes of Cloud Computing, Stamford, 2009

[grtn3] http://www.networkworld.com/news/2008/070208-cloud.html, Last checked: 31.01.2012

[grtn4] Gartner, Magic Quadrant for Business Intelligence Platforms, Stamford, January 2011

[ccj] http://cloudcomputing.sys-con.com/node/1200642, Last checked: 31.01.2012

[itex] http://www.infotex.com/portal_blog/white_papers/risk_landscape_of_cloud_computing_isaca.pdf, Last checked: 31.01.2012

[mit] E. Reyes, A systems Thinking Approach to Business Intelligence Solutions Based on Cloud Computing, Cambridge, June 2010[brkl] M. Zaharia, Cloud Computing with MapReduce and Hadoop, Berkley, 2010

[ijcte] OufS., The Cloud Computing: The Future of BI in the Cloud, International Journal of Computer Theory and Engineering, Vol. 3, No. 6, December 2011
http://www.google.de/trends/?q=cloud+computing,+grid+computing,+virtualization&ctab=0&geo=all&date=all&sort=0http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.networkworld.com/news/2008/070208-cloud.htmlhttp://cloudcomputing.sys-con.com/node/1200642http://www.infotex.com/portal_blog/white_papers/risk_landscape_of_cloud_computing_isaca.pdfhttp://www.infotex.com/portal_blog/white_papers/risk_landscape_of_cloud_computing_isaca.pdfhttp://cloudcomputing.sys-con.com/node/1200642http://cloudcomputing.sys-con.com/node/1200642http://cloudcomputing.sys-con.com/node/1200642http://www.networkworld.com/news/2008/070208-cloud.htmlhttp://www.networkworld.com/news/2008/070208-cloud.htmlhttp://www.networkworld.com/news/2008/070208-cloud.htmlhttp://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.datacenterknowledge.com/archives/2008/03/25/whats-in-a-name-utility-vs-cloud-vs-grid/http://www.google.de/trends/?q=cloud+computing,+grid+computing,+virtualization&ctab=0&geo=all&date=all&sort=0

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Business Intelligence and Cloud Computing