The Risks and Rewards of Big Data in the Cloud

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Our Panel

Michael Fauscette is IDC Group Vice President, Software Business Solutions, overseeing IDC's research and consulting in ERP, SCM, CRM, and PLM Applications, small and medium business applications, partner and alliance ecosystems, open source, software vendor business models (SaaS) and software pricing and licensing. Mr. Fauscette brings a unique perspective by relating research data and trends to the overall strategic focus and go to market strategy of application software companies.

Mike Culver, a member of the Strategic Alliances Team at Amazon Web Services, is responsible for managing global relationships with key partners. Based in Seattle, Mike presents at conferences and other forums to help decision-makers understand Cloud Computing, and why the new business model is so disruptive. Mike has spent more than 15 years in technology,  having previously worked with Microsoft, an ecommerce startup that he founded, and an IT organization in the Wholesale Distribution industry.

Dr. Todd Papaioannou is VP for Architecture and Emerging Technologies at Teradata. He focuses on product and architectural strategy across the entire Teradata product portfolio, and has recently been focused on driving Teradata's initiatives in Cloud Computing and Virtualization. Todd has previously served as CTO of Teradata's Client Software group and Chief Architect for the Teradata Viewpoint program. Prior to joining Teradata, he was Chief Architect at Greenplum/Metapa. Todd holds a PhD in Artificial Intelligence and Distributed Systems.

What’s Different About Cloud?

• Location and Responsibility

• Access via the Internet to standards-based resources, with universal network access• Minimal IT skills to “implement / no lengthy implementation of on-premise systems• Automated self-serve provisioning - near real-time deployment

• Fine-grained, usage-based pricing capability (though some providers mask this granularity with long-term, fixed price agreements)• Shared resources, configure vs. customize, with integrations and client-side optimization, often virtualized

Browser-based; N-scale service

Highly transactional; dynamic scaling/flexing

Real-time

Granular metering; priced based on delivering ongoing “shared value”

SLA rests with ISV or designee

Multi-tenant (maybe), built for a market, not a customer

For users this means…

Three Big Categories of IT Cloud Services

Cloud Applications

(Apps-as-a-service)

Cloud(Application)

Platforms(Platform-as-a-Service)

Cloud Infrastructure(Infrastructure-as-a-Service)

IT Cloud Services

Why IT Cloud Services?

Q: Rate the benefits commonly ascribed to the 'cloud'/on-demand model (Scale: 1 = Not at all important 5 = Very Important)

Source: IDC Enterprise Panel, 3Q09, n = 263

54.0%

63.9%

64.6%

67.0%

68.5%

75.3%

77.7%

77.9%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90%

Seems like the way of the future

Sharing systems with partners simpler

Always offers latest functionality

Requires less in-house IT staff, costs

Encourages standard systems

Monthly payments

Easy/fast to deploy to end-users

Pay only for what you use

Source: IDC, September 2009% responding 3, 4 or 5

Cloud Computing Attributes

Abstract Resources

Not tied to physical hardware and can be flexible as your needs demand.

On-Demand Provisioning

Ask for what you need, exactly when you need it. Pay only for what you use.

Scalability Scale up or down depending on usage needs.

No Up-Front Costs

No contracts or long-term commitments.Pay only for what you use.

Efficiency of Experts

Utilize the skills, knowledge and resources of experts.

We Think of the Cloud as aSet of Building Block Services

Infrastructure As a Service Amazon Simple Storage Service Amazon CloudFront Amazon Elastic Compute Cloud Amazon Elastic Block Storage Amazon Simple Queue Service Amazon SimpleDB Amazon Elastic MapReduce Amazon Relational Database

Service

People As a Service Amazon Mechanical Turk

Payments As a Service Amazon Flexible Payments

Service Amazon DevPay

Fulfillment and Associates Amazon Fulfillment Web Service Amazon Associates Web

Service

Amazon EC2: Durable & Available

Amazon CloudWatch

Auto

Sca

ling

Elastic Load Balancing

Note: Conceptual drawing only. The number of Availability Zones may vary

US East Region

Availability Zone A

Availability Zone C

Availability Zone B

EC2 EC2 EC2

EC2 E

C2 EC2

EC2 E

C2 E

C2

EC2 E

C2 EC2

EC2 E

C2

EC2

EC2 E

C2 EC2

EC2EC2

EC2EC2

EC2EC2

S3S3

S3S3

S3S3

Public Cloud

Virtual Private Cloud

Secure VPN over

Internet

Multiple Subnets

Corporate Router

VPN Gateway

Physical Data Center

Amazon Virtual Private CloudIP Addresses

Not Advertised to Internet

Why is Teradata investing in the

cloud?

Cloud Computing is here to stay

Virtualization is the mega trend of the

next decade

Data is moving into the Cloud

The cloud and your data warehouse

Commodity Hardware

Lowest Cost

Moderate Performance

Some High Availability

Fair to good security

Commodity Hardware

Good Price

Average Performance

Average High Availability

Excellent Security

Enterprise Class

Highest Price

Best Performance

Best High Availability

Excellent Security

Public Clouds Private Clouds Appliances

Hybrid Cloud Continuum

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