The document discusses implementing big data in the cloud. It notes that using multiple cloud service providers (CSPs) instead of a single one can provide benefits like increased flexibility, cost savings, and security. CSPs specialize in different areas like commercial vs government use and commodity vs enterprise services. A cloud services broker can help manage multiple CSPs and ensure the best fit for an organization's needs, reducing costs and lock-in to any single provider. Case studies demonstrate how geospatial and energy companies successfully used these approaches.
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Implementing big data in the cloud v2.5 3 4 2013
1. Special Focus: Implementing
Big Data in the Cloud
Presented to Government Big Data Symposium
Kevin L. Jackson
Vice President and General Manager, NJVC Cloud Services
March 5, 2013
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2. Agenda
ï« Why use cloud computing for big data?
ï« Whatâs wrong with using a single cloud services provider (CSP)?
ï« What makes CSPs different from one another?
ï« Why should you consider using a cloud services broker (CSB)?
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3. Why Consider the Cloud for Big Data?
ï« Ubiquitous Access to Infrastructure
ï« Scalable
ï« Long-Term Financial Commitment Avoidance
ï« Capital Expenditure Minimization
ï« Shared Infrastructure
ï« Procurement Agility
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6. CSP Specialization â Marketplace Priorities
ï« Commercial vs. Government
ï« Commodity vs. Enterprise
ï« Security
ï« Quality of Service
ï« Cost Sensitivity
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8. CSP Comparison
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9. Technical Compatibility
Terremark Savvis Cisco/EMC Amazon Go Grid
Internal Private Cloud X
External Private Cloud X X X X
Enterprise Class X X X
Commodity Class X X
Hybrid with Hosting X X X X
Content Delivery X X
SAN Storage X X X
Large Data Transfer X X X X
VLAN Firewall X X X X
Dedicated Network X X X
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11. Managing Multiple CSPs with an Internal CSB
Attributes of Internal CSB
ï« Perceived as core responsibility
ï« Responsible for all CSB roles
ï« Triggered by having multiple CSPs,
and role applies to both public and
private cloud services
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13. CSB Value
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14. Application Specifics Drive Deployment Options
ï« Storage Requirements
ï« Network Latency
ï« Geographic Restrictions
ï« Access to Social Media Data
ï« Legal Restrictions
ï« Big Data Security
ï« Data Privacy
ï« Data Providence
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15. Reducing Cost Via Spot Markets
Virtustream SpotCloud
âSpotCloud: Buy cloud servers, and instantly get the broadest
choice of precise geo-targeted capacity at the best price.â
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16. Reducing Cost Via Spot Markets
Amazon Spot Instances
ï« Name your own price for Amazon EC2
computing capacity
ï« Spot price varies in real time based on
supply and demand
ï« Can provide the most cost-effective
option for obtaining compute capacity
ï« Can significantly lower computing
costs for time-flexible, interruption-
tolerant tasks
ï« May be able to simultaneously
accelerate the computational task and
reduce overall cost (i.e. distributed,
fault-tolerant tasks like Web crawling
or Monte Carlo applications)
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17. Proof Point â Geospatial Data NCOIC GCC
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18. Proof Point â Large Energy Company
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19. Summary
ï«Why use cloud computing for big data?
ï§ Reduce cost, improve agility and flexibility
ï«Whatâs wrong with using a single CSP?
ï§ All CSPs arenât created equal
ï«What makes CSPs different from one another?
ï§ Specialization, capabilities and industry/mission relevant
experience
ï«Why should you consider CSB?
ï§ Increased savings, improved agility and flexibility, and mission
alignment, and avoidance of CSP lock in
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20. Thank You
Kevin L. Jackson
Vice President and General Manager,
Cloud Services
NJVC, LLC
703.335.0830
kevin.jackson@njvc.com
http://www.cloudcuity.com
http://www.njvc.com
http://govcloud.ulitzer.com
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