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
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
GoGrid & IBM: Creating and Scaling Data-Driven Solutions in the Cloud
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
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
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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
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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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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
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9. IBM’s Big Data Ecosystem
CC&G Partners
100 th
Big Data
Business Partner
Signed
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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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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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