Today, your clients are capturing vast amounts of data in real time from social interactions, geolocation, financial transactions, and legacy archives. They need your recommendation for the best solution that can warehouse and analyze all that data, help get to market quickly, and also scale to meet demand. Deploying IBM BigInsights and Streams in GoGrid’s cloud infrastructure is a seamless, cost-effective, powerful way to enable your clients’ Big Data architectures. In this webinar, you'll learn: • What scenarios are ripe for Big Data implementations • How to cloud-enable your Big Data solution • How to identify and close business with the IBM Big Data and GoGrid cloud solution Presenters: - Bruce Weed – Program Director, Worldwide IBM Big Data Business Development, IBM - Michael Sheehan – Technology Evangelist, GoGrid

1. How to Put Your Big Data in the Cloud
Bruce Weed – Program Director, Worldwide IBM
Big Data Business Development
Michael Sheehan – Technology Evangelist, GoGrid
Webinar recording:
http://go.gogrid.com/l/3442/2012-08-02/2d2xt8

2. To watch the complete IBM & GoGrid webinar,
please visit:
http://go.gogrid.com/l/3442/2012-08-02/2d2xt8
2 © 2011 GoGrid 8/2/2012

3. Agenda
 Big Data sweet spots
 Big Data ecosystem
 IBM BigInsights & Streams
 Big Data in the GoGrid cloud – Recipe for success
 How to spot & close
 Q&A
3

4. Big Data Sweet Spots
Big Data is applicable
Focus Industries across all industries, both
 Finance/Insurance  Public Public and Private Sector
 Retail Sector/Govern
 E&U (Telco) ment
 Healthcare
Use Cases
4

5. Big Data Challenges Have Diverse Requirements
Process & store huge volume of any data
Description: Distributed File System
Structure & control data
Description: Parallel Processing Engine
Process streaming data
Description: Stream Computing Engine
Analyze unstructured data
Description: Analyze textual content for insights
Integrate all data sources
Description: Integrate, transform, and manage metadata
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6. The Solution – IBM’s Big Data Platform
Bring together any data source, at any velocity, to generate insight
IBM’s Big Data Platform
 Variety
 Velocity
 Volume
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7. IBM’s Big Data Platform
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8. The Big Data Platform Products
InfoSphere BigInsights
Hadoop
Information
Integration Stream
InfoSphere & Governance Computing InfoSphere Streams
Information Server
MPP Data Warehouse
IBM InfoSphere IBM Netezza High IBM Netezza 1000 IBM Smart IBM Informix
Warehouse Capacity Appliance Analytics System Timeseries
8

9. IBM’s Big Data Ecosystem
CC&G Partners
100 th
Big Data
Business Partner
Signed
9

10. InfoSphere Streams v2.0
Platform for analytics on real-time streaming data
Unique Features
Complex Analytics
Analysis of structured & unstructured data
Mining Toolkit
To score data models in real time against streaming data
 Fast – Clustered runtime for high-
performance, extremely low-latency streaming
applications
 Enterprise-scale – High availability via runtime restart
and recovery services
 Scalable
Integration Capabilities
 Connectivity is expanded to support Netezza
TwinFin, Microsoft SQLServer, and MySQL, in addition
to DB2, Informix®, solidDB®, and Oracle databases
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11. Top Industry Examples
Big Data in Action
IT Stock Market
 Transition log analysis  Impact of weather on securities prices
for multiple  Analyze market data at ultra-low latencies
transactional systems
Law Enforcement,
Defense, & Cyber Security
 Real-time multimodal surveillance
E-Commerce  Homeland Security
 Analyze internet behavior
and buying patterns
Financial Services
 Improved risk decisions
 AML (Anti Money Laundering)
Manufacturing
 Process control for
microchip fabrication
Utilities
 Weather impact analysis on
power generation
Health & Life Sciences  Smart meter data analysis
 Neonatal ICU monitoring
 Epidem
Telephony Call Centers
 Voice-to-text mining for
 CDR processing
customer behavior
 Churn prediction
understanding
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12. InfoSphere BigInsights v1.4
Platform for internet-scale analytics
Platform
 Hadoop or Cloudera
foundation, MapReduce
 Large-scale indexing
 Integrated text analytics
Usability
 BigSheets
 Includes a limited-use
version of InfoSphere
or
Streams
 Java, Hive, PIG, & JAQL
Announcement Material
http://www-01.ibm.com/common/ssi/cgi-
bin/ssialias?subtype=ca&infotype=an&appname=iSource&supplier=897&letternum=ENUS
212-213
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13. Hosting Options Supporting Big Data
 Self-Hosted – On-premises
Both capital- & labor-intensive
 Hosted – Self-managed (colocation)
Blended capital expense (CapEx) & operating expense (OpEx)
 Hosted – Fully managed
Operating expense (OpEx) only
13 © 2012 GoGrid

14. Hosting Options for Big Data
Option $ Cost IT Cost Easy Commitment
Do It Yourself High High No High
(self-hosted/On-Prem)
Do It Yourself High High No High
(colocation)
Hosted High Medium No Medium
(Managed/Shared/Dedicated)
Cloud Medium Low Yes Low
(GoGrid)
 GoGrid advantages
• Monthly/hourly billing for cloud infrastructure = controllable expediture
• Easy to deploy as GoGrid Server Image (GSI) = ease of use
• Monthly licensing = controlled costs
• Fully managed cloud infrastructure = minimal IT cost
• No long term contracts = lower commitment
14 © 2012 GoGrid

15. Hybrid Cloud Infrastructure Delivers
 Best of both worlds – gives you flexibility
 VMs
 Scalability
 Environment control
 MyGSI capability
 Dedicated Servers
 Single tenancy
 Committed I/O, CPU network
15 © 2012 GoGrid

16. Advantages of Hybrid Infrastructure Tuned for Big Data
Best Fit for Most Application Delivery
Virtual Servers
Web/app front-end
typically demands rapid Resolves Compliance/Security Concerns
horizontal expansion and
contraction via multiple
load-balanced instances Delivery of Service can be Precisely
Tuned for Product/Business Needs
Dedicated Servers
Data stores typically Highly Customizable Over Time
require less-rapid
scalability, provide greater
performance and higher Mitigates Project-/Product-Based Risk
security without Sacrificing Service Delivery
16 © 2012 GoGrid

17. What makes a good prospect for InfoSphere Streams?
For Business Partners who:
 Have/need applications processing large volumes of data, require smart insights to
run their business with ultra-low latencies, need to make decisions quickly ,and
increase response times from hours to seconds!
 Have requirements for a platform that supports applications with heterogeneous
data sources and data destinations:
 Structured & unstructured data: video, audio, text, etc.
 Want to take advantage of a new computing paradigm to build non-traditional
applications that in the past were prohibitively expensive and time-consuming to
build.
 Want a platform on which to build applications quickly and integrate easily with
other applications (without having to build and support it themselves) and who
need to show clear ROI.
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18. IBM InfoSphere BigInsights Provides Unique Business Value
Optimized beyond open
source Hadoop
 Workload optimization
Integration with
enterprise systems
 Connectors for multiple data sources
Accelerators reduce
implementation time
 Industry & application accelerators
 Analytic accelerators
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19. GoGrid Cloud + IBM BigInsights = Big Data in the Cloud
 IBM BigInsights as a GoGrid Server Image (MyGSI) solution
 Deploy BigInsights directly into the GoGrid cloud in minutes
 Bring your own license or use GoGrid licensing
 Faster time to market by deploying in the cloud  minutes to deploy
 Pre-built & pre-integrated server image solution
 Monthly billing
 24x7 Support
19 © 2012 GoGrid

20. Q&A
Performance Automation
Security Templatization
Control Scalability
Flexibility Risk Mitigation
20 © 2012 GoGrid

21. Discuss Your Big Data Infrastructure with an Expert
Set up an appointment:
www.GoGrid.com
Telephone: 1-877-946-4743
International: +1-415-869-7444
Learn more about GoGrid’s Big Data Solution:
http://www.gogrid.com/cloud-hosting/cloud-hosting-packages/big-data.php
Telephone: 1-877-946-4743
International: +1-415- 869-7444
21 © 2012 GoGrid

22. To watch the complete IBM & GoGrid webinar,
please visit:
http://go.gogrid.com/l/3442/2012-08-02/2d2xt8
22 © 2011 GoGrid 8/2/2012