Value proposition for big data isv partners 0714

© 2011 IBM Corporation

IBM Big DataValue Proposition for ISV Partners

Niu Bai, Ph.D, Worldwide Big Data Partner Ecosystem Development Lead [email protected]

© 2011 BW @ IBM Corporation2

Acknowledgements and Disclaimers

© Copyright IBM Corporation 2012. All rights reserved.U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule

Contract with IBM

This material is copyrighted and should not be used without direct permission from IBM or the author of this content.

IBM, the IBM logo, ibm.com, InfoSphere Brand, InfoSphere Streams and InfoSphere BigInsights are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol (® or ™), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml

Other company, product, or service names may be trademarks or service marks of others.

Availability. References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates.

The workshops, sessions and materials have been prepared by IBM or the session speakers and reflect their own views. They are provided for informational purposes only, and are neither intended to, nor shall have the effect of being, legal or other guidance or advice to any participant. While efforts were made to verify the completeness and accuracy of the information contained in this presentation, it is provided AS-IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this presentation or any other materials. Nothing contained in this presentation is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software.

All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results.

© 2011 BW @ IBM Corporation

Clients Need Both to Be Successful

“…Every two days, we now generate the equivalent of all of the data that existed up to 2003. And thanks to advanced computation and analytics, we have the tools to turn that data into

insight, knowledge and better decisions…”

“…Every two days, we now generate the equivalent of all of the data that existed up to 2003. And thanks to advanced computation and analytics, we have the tools to turn that data into

insight, knowledge and better decisions…”

“Competitive Advantage in the Era of Smart” Ginni Rometty, Chairman, President and CEO, IBM Council on Foreign Relations, NYC March 7, 2013

“Competitive Advantage in the Era of Smart” Ginni Rometty, Chairman, President and CEO, IBM Council on Foreign Relations, NYC March 7, 2013

AnalyticsAnalytics

Big Data DataBig Data Data• inform decisions• optimize processes• drive new business

models.

• inform decisions• optimize processes• drive new business

models.

• explosion of data• new types of sources• moving at high speed

• explosion of data• new types of sources• moving at high speed


Data at Scale Data in Many Forms Data in Motion Data Uncertainty

Big Data Is All Data

VolumeVolume VarietyVariety VelocityVelocity VeracityVeracity


30%Reduction in heating bills

The Opportunities from Big Data &Analytics Are Infinite

15 min Response time

to requests

15 min Response time

to requests 150% Revenue

growth rate

150% Revenue

growth rate

95%

Accuracy of 18+ month sales forecasts

95%

Accuracy of 18+ month sales forecasts

80% Less time required to open an account

80% Less time required to open an account

98.5%On-time deliverytarget achieved

70%Counterparty

measurements changed

70%Counterparty

measurements changed

80% Reduction in

serious accidents

80% Reduction in

serious accidents


Why Act Now?

Create IT AgilityManage RiskOutperform

Only 1 in 5 organizations allocate more than 50% of IT budget to new projects

Of leaders cite growth as the key source of value

from analytics

Source:1 - IBM IBV Study: Analytics: A blueprint for value, October 2013 2 - IBM Global Study on the Economic Impact of IT Risk, 20133 - IBM Global Data Center Study, 2012

Source:1 - IBM IBV Study: Analytics: A blueprint for value, October 2013 2 - IBM Global Study on the Economic Impact of IT Risk, 20133 - IBM Global Data Center Study, 2012

Of respondents were impacted by a cyber security breach

over the past 24 months

46%75% 1in5


Three Key Imperatives for Big Data & Analytics Success

Invest in a Invest in a big data & big data & analytics analytics platformplatform

Be proactive Be proactive about privacy, about privacy, security and security and governancegovernance

Imagine It.Imagine It. Realize It.Realize It. Trust It.Trust It.

Build a culture Build a culture that infuses that infuses

analytics analytics everywhereeverywhere


Watson Foundations

• IBM Decision Management• IBM Content Analytics• IBM Planning & Forecasting• IBM Discovery & Exploration• IBM BI & Predictive Analytics• IBM Content Management• IBM Hadoop System• IBM Stream Computing• IBM Data Management & Data Warehouse• IBM Information Integration & Governance

Leading the new era of big

data and analytics


Systems Security

On premise, Cloud, As a serviceStorage

IBM Watson Foundations

IBM Big Data & Analytics Infrastructure

New/Enhanced Applications

All Data

Real-time analytics zone Enterprise

warehouse data mart and analytic appliances zone

Information governance zone

Exploration, landing and archive zone

Information ingestion and operational informationzone

What could happen?

Predictive analyticsand modeling

What action should I take?

Decisionmanagement

What is happening?Discovery and

exploration

Why did it happen?

Reporting, analysis,content analytics

CognitiveFabric

A New Foundation for leveraging all analytics and harnessing for dataA New Foundation for leveraging all analytics and harnessing for data


The new era of IBM Big Data & Analytics with Watson Foundations

Unique – fuels journey to Cognitive

Innovative – easy to consume

Complete – enterprise-ready

Fast – start anywhere and grow

WATSON FOUNDATIONS

Sales Marketing Finance Operations HRRisk ITFraud

Industry Solutions

SOLUTIONS

CONSULTING AND IMPLEMENTATION SERVICES

BIG DATA & ANALYTICS INFRASTRUCTURE

DecisionManagement

Planning &Forecasting

Discovery &Exploration

Business Intelligence & Predictive Analytics

ContentAnalytics

Information Integration & Governance

Data Mgmt & Warehouse

HadoopSystem

StreamComputing

ContentManagement

WATSON FOUNDATIONS

Sales Marketing Finance Operations HRRisk ITFraud

Industry Solutions

SOLUTIONS

CONSULTING AND IMPLEMENTATION SERVICES

BIG DATA & ANALYTICS INFRASTRUCTURE

DecisionManagement



Business Intelligence & Predictive AnalyticsBusiness Intelligence & Predictive Analytics

ContentAnalytics



HadoopSystem

StreamComputing

ContentManagement


Helps me discover fresh insights• Predictive and content analytics to

uncover patterns not yet known• Interactive exploration across all data

Operates in a timely fashion• Real-time analytics as data flows through an organization • Enterprise-class Hadoop that runs 4x faster • In-memory computing for speed of thought analytics

Establishes trust so I can act with confidence• Governance across complete data lifecycle including Hadoop• Security and privacy with compliance• Transparency and context to decision-making process

Watson Foundations uniquely…

WATSON FOUNDATIONS

DecisionManagement



Business Intelligence & Predictive AnalyticsBusiness Intelligence & Predictive Analytics

ContentAnalytics



HadoopSystem

StreamComputing

ContentManagement


InfoSphere BigInsights: Provides Enterprise Grade Hadoop analytics

Manages a wide variety and huge volume of data

Augments open source Hadoop with enterprise capabilities

– Visualization & Exploration

– Development tools

– Advanced Engines

– Connectors

– Workload Optimization

– Enterprise integration

– Analytic Accelerators

– Application and industry accelerators

– Administration & Security

Accelerators


Data Warehouse

Stream Computing

Hadoop System

DiscoveryApplicationDevelopment

SystemsManagement

Data Data Media Media ContentContent Machine Machine SocialSocial

BIG DATA PLATFORM



Enterprise Performance &

Integration Analytics Usability

Key Differentiators for BigInsightsIt is much more just Hadoop!

• Workload / performance optimization

• GPFS

• Security

• Key integrations & Connectors with Enterprise Ecosystem

• Text analytics

• Social Data Analytics Accelerators

• Machine Data Analytics Accelerators

• Execute R in an integrated application

• Big SQL

• BigSheets

• Development Tools

• Web Console


InfoSphere BigInsights


Administration & SecurityAdministration & Security

Workload Optimization (MapReduce/SQL)Workload Optimization (MapReduce/SQL)

ConnectorsConnectors

Development ToolsDevelopment Tools

IBM tested & supported open source componentsIBM tested & supported

open source components

AcceleratorsAccelerators

Open source based

components

Open source based

components

Workload Management

Security

Workload Management

Security

Development EnvironmentDevelopment Environment

Analytics/ExtractorsAnalytics/Extractors

AnalyticsAnalytics

Extraction engine (System T)Extraction engine (System T)

Visualization & ExplorationVisualization & Exploration

Extractors and APIs

Extractors and APIs

SQL APISQL API


IBM InfoSphere BigInsights for HadoopIBM InfoSphere BigInsights for Hadoop

RuntimeRuntime

File SystemFile System

Data StoreData Store

Resource M

anagement &

A

dministration

Resource M

anagement &

A

dministration

Security

SecurityData

AccessData

Access

Advanced AnalyticsAdvanced Analytics

Visualization & Ad Hoc Analytics

Visualization & Ad Hoc Analytics

Applications & DevelopmentApplications & Development

Governance

Governance

MapReduceMapReduce

HBaseHBase

HDFSHDFS

IBMOpen Source

Text Analytics

Text AnalyticsRR Big RBig R

Kerberos

Kerberos

Audit &

History

Audit &

History

GPFS FPOGPFS FPO

Adaptive MapReduceAdaptive MapReduce

Console

Console

Monitoring

Monitoring

LDA

PLD

AP

Data S

ecurity for Hadoop

Data S

ecurity for Hadoop

Data P

rivacy for Hadoop

Data P

rivacy for Hadoop

Data M

atchingD

ata Matching

Data M

askingD

ata Masking

Stream ComputingStream ComputingS

earchS

earchStreamsStreams

EnterpriseS

earchE

nterpriseS

earchS

olr/LuceneS

olr/Lucene

JaqlJaql

PigPigHiveHive

ZooK

eeperZ

ooKeeper

Oozie

Oozie

Big SQLBig SQL

Flexible

SchedulerF

lexibleS

cheduler

ETLETL

BigSheetsBigSheets

DashboardDashboardChartingCharting

Eclipse Tooling:MapReduce, Hive, Jaql,

Pig, Big SQL, AQL

Eclipse Tooling:MapReduce, Hive, Jaql,

Pig, Big SQL, AQL

BigSheets Reader and Macro

BigSheets Reader and Macro

Text Analytics Extractors

Text Analytics Extractors

FlumeFlume

SqoopSqoop

HCatalogHCatalog

YA

RN

*Y

AR

N*

* In Beta* In Beta

InfoSphere BigInsights for Hadoop includes the latest Open Source components, enhanced by enterprise componentsInfoSphere BigInsights for Hadoop includes the latest Open Source components, enhanced by enterprise components

© 2011 BW @ IBM Corporation© 2013 IBM Corporation16

From Getting Starting to Enterprise Deployment:Different BigInsights Editions For Varying Needs

Standard Edition

Breadth of capabilities

En

terp

rise

cla

ss

Enterprise Edition

- Spreadsheet-style tool -- Web console -- Dashboards

- Pre-built applications-- Eclipse tooling-- RDBMS connectivity -- Big SQL -- Monitoring and alerts-- Platform enhancements-- . . .

- Accelerators-- GPFS – FPO-- Adaptive MapReduce

- Text analytics

- Enterprise Integration-- Big R -- InfoSphere Streams*-- Watson Explorer*-- Cognos BI*-- Data Click*-- . . .

-* Limited use license

ApacheHadoop

Quick Start Free. Non-production

Same features as Standard Edition plus text analytics and Big R


PredictiveAnalytics

BI & Reporting

Visualization & Discovery

Operational Warehouse

Zone

Operational Warehouse

Zone

Analytics Warehouse

Zone

Analytics Warehouse

Zone

Hadoop Zone- Preprocessing, Queriable Archive, Ad Hoc Analysis

Hadoop Zone- Preprocessing, Queriable Archive, Ad Hoc Analysis

Information Integration

and Governance

Information Integration

and Governance

Integration

Master Data

Governance

Custom Applications

Structured Semi Structured Unstructured

Hadoop Analytics& VisualizationHadoop Analytics& Visualization

Real time Analytics ZoneReal time Analytics Zone

Enterprise Integration with Multiple Products Brings the Power of the Big Data Platform to BigInsights

InfoSphere Data Explorer BUNDLED: Indexing and “on the glass” integration

InfoSphere StreamsBUNDLED: Enables real-time, continuous analysis of data on the fly

InfoSphere Guardium Auditing

InfoSphere DataStageData collection and integration

Cognos BIBUNDLED: Support for Hive; BI capabilities

NetezzaQuery & join data using UDFs

DB2 and JDBCHi-speed parallel read-write for DB2, JDBC connectivity

R Execute R jobs directly from BigInsights web console

InfoSphere OptimData archivingData masking


What’s New in BigInsights v3.0 – features and benefits

Rich SQL language support over HadoopComprehensive SQL language support that runs ALL 99 TPC-DS queries and ALL 22 TPC-H queries without modification

Rich SQL language support over HadoopComprehensive SQL language support that runs ALL 99 TPC-DS queries and ALL 22 TPC-H queries without modification

Industry-leading SQL processing performance over Hadoop DataExecute queries 20 times faster, on average, over Apache Hive 12 with performance improvements ranging up to 70 times faster with Big SQL

Industry-leading SQL processing performance over Hadoop DataExecute queries 20 times faster, on average, over Apache Hive 12 with performance improvements ranging up to 70 times faster with Big SQL

Federated queryQuery multiple sources at once by combining data from many data sources, including DB2 for Linux, UNIX and Windows database software, PDA, PDOA, Teradata and Oracle etc.

Federated queryQuery multiple sources at once by combining data from many data sources, including DB2 for Linux, UNIX and Windows database software, PDA, PDOA, Teradata and Oracle etc.

Enhanced BigSheets analysis and visualization tool Integration with SQL and Hive for consistency between tables and sheets; D3 (Data Driven Documents) charts for quick visualization of ad hoc analytics enabling business analysts and data scientists to get insight from big data without coding

Enhanced BigSheets analysis and visualization tool Integration with SQL and Hive for consistency between tables and sheets; D3 (Data Driven Documents) charts for quick visualization of ad hoc analytics enabling business analysts and data scientists to get insight from big data without coding

Secure and protect sensitive information in HadoopEnable Kerberos security in Hadoop to establish service to service authentication that increases security strength to prevent middle man attacks

Secure and protect sensitive information in HadoopEnable Kerberos security in Hadoop to establish service to service authentication that increases security strength to prevent middle man attacks


Big SQL 3.0 – At a Glance


Transforming Email Marketing Campaign Effectiveness with IBM Big Data

Transforming Email Marketing Campaign Effectiveness with IBM Big Data

Capabilities

• InfoSphere BigInsights, IBM PureData for Analytics – powered by Netezza technology, Cognos BI

Need

• Constant Contact needed to analyze 35 billion annual emails to guide customers on best dates and times to send emails for maximum response

Benefits

• 40 times improvement in analysis performance

• 15-25% performance increase in customer email campaigns

• Analysis time reduced from hours to seconds


Teikoku Databank – Cuts time needed to process billions of textual data items from several days to 30 minutes

Analyzes 4.75-fold moredata, enhancing corporate credit offering to customers

“With IBM InfoSphere BigInsights, it has become possible to process billions of items of textual data in 30 minutes.”— Mr. Satoshi Kitajima, an MBA Statistician in the SPECIA Team

of the Business Analytics Division of the Market and Business Intelligence Department, Teikoku Databank

Accelerates processingtextual data, speeding delivery of information to clients

Differentiatesthe company, providing a significant competitive advantage

Banking, Financial Markets

The transformation: By effectively combining proprietary data with big data from the Internet, the company maximizes utilization of the available data sets to deliver more detailed information to customers.

Soluton components

Software• IBM® InfoSphere® BigInsights™



Vestas optimizes capital investments based on 2.5 Petabytes of information.

Vestas optimizes capital investments based on 2.5 Petabytes of information.

• Model the weather to optimize placement of turbines, maximizing power generation and longevity.

• Reduce time required to identify placement of turbine from weeks to hours.

• Incorporate 2.5 PB of structured and semi-structured information flows.

• Data volume expected to grow to 6 PB.

Capabilities Utilized: InfoSphere BigInsights

InfoSphere Warehouse


Large European University generates own energy and uses analytics to monitor and manage consumption

Large European University generates own energy and uses analytics to monitor and manage consumption

Need

• After years of 8-digit electric bills, the university deployed an independent on-campus power generation system. But they lacked a solution to monitor, analyze, and manage production and consumption,

Benefits

• Anticipate lower energy consumption levels and costs

• Ability to identify energy inefficient areas of campus and take corrective action

• Improved understanding of how changes in power grid model affect energy efficiency

Capabilities Utilized: Cognos BI, SPSS



Tivoli Energy Management


Performance enhancements & workload optimizations resulting in faster answers

Unique analytic engines that get more accurate results

Built-in development environment and administration consoles enable your resources skills to utilize Hadoop

Enterprise-class security to protect your big data

Pre-integrated to your existing enterprise IT systems ensuring that big data doesn't become a silo

Faster

For Enterprise Big Data, InfoSphere BigInsights is the Clear Choice

Smarter

Secure

Plugged-in

Easier



InfoSphere Streams - Streaming Analytics for Big Data

• Built to analyze data in motion

– Multiple concurrent input streams

– Massive scalability

• Process and analyze a variety of data

– Structured, unstructured, video, audio

– Advanced analytic operators

• Enables Adaptive Real-Time Analytics– With Data Warehouses

– With Hadoop Systems

Accelerators


Data Warehouse

Stream Computing

Hadoop System

DiscoveryApplicationDevelopment

SystemsManagement

Data Data Media Media ContentContent Machine Machine SocialSocial

BIG DATA PLATFORM


Millions of events per

second

Microsecond Latency

Traditional / Non-traditional data sources

Real time delivery

PowerfulAnalytics

Algorithmic Trading

Telco ChurnPrediction

SmartGrid

CyberSecurity

Government /Law

enforcement

ICUMonitoring

EnvironmentMonitoring

VolumeTerabytes per second

Petabytes per day

VarietyAll kinds of data

All kinds of analytics

Velocity Insights in microseconds

InfoSphere Streams Delivers Analytics for Big Data In-Motion

Example Streaming Data Sources:

Video, audio, networks, social media


Massively scalable stream analytics

Linear Scalability• Clustered deployments –

unlimited scalability

Automated Deployment• Automatically optimize

operator deployment across nodes

Performance Optimization• Parallel & pipeline

operations• Efficient multi-threading

Analytics on Streaming Data• Analytic accelerators for a

variety of data types• Optimized for real-time

performance

Visualization

Streams Runtime

Deployments

Sink Adapters

AnalyticOperators

SourceAdapters

Automated and Optimized

DeploymentStreaming Data

Sources

Streams Studio IDE


ModifyModifyFilter / SampleFilter / Sample

ClassifyClassify

FuseFuse

AnnotateAnnotate

Big Data in Real Time with InfoSphere Streams

ScoreScore

Windowed AggregatesWindowed Aggregates

AnalyzeAnalyze


IBM InfoSphere Streams

29

Comprehensive Development Tools

Scale-out Architecture Sophisticated Analytics with Toolkits & Accelerators

• Clustered runtime for near-limitless capacity

• Large scale deployment • RHEL v5.3 and above• CentOS v6.0 and above• X86 & Power multicore HW• SUSE Linux Enterprise

Server 11.2 and above• InfiniBand support• Ethernet support

• Eclipse IDE• Web console• Drag & drop editor• Instance graph• Streams visualization• Streams debugger• Java improvements• Mapped operators

• CEP, Database, Data Explorer, DataStage, Finance, SPSS, R Geospatial, Internet, Mining, Messaging with JMS adapter, Standard, Text, Time Series Toolkits

• Telco & Social Data Accelerators

Front Office 3.0Front Office 3.0

Items in blue are new in V3.1Items in blue are new in V3.1

© 2011 BW @ IBM Corporation30 © 2013 IBM Corporation30

What’s new in v3.1 Analytics! Performance! Integration!

R analytics• Data analysis with statistical, mining and modeling capabilities• Extends family of analytics options with Streams• Opens new market & fosters BigInsights/Netezza Synergy

New Time Series Toolkit operators• Incremental interpolation: replace missing values• Distribution: compute quartiles, median

Improved Performance • Java enhancements yield faster throughput and reduced

resources for fused Java operators• For operations with lists and maps, 2 to 10x improvements

Eliminate barriers to integration and adoption with new support for:

• SUSE Linux Enterprise Server v11.2• JMS (Java Messaging Services)• Teradata & Asterdata


Streams Analyzes All Variety of Data

Mining in Microseconds(included with Streams)Mining in Microseconds(included with Streams)

Image & Video (Open Source)

Simple & Advanced Text (included with Streams)Simple & Advanced Text (included with Streams)

Text(listen, verb),

(radio, noun)

Acoustic(IBM Research)(Open Source)

Acoustic(IBM Research)(Open Source)

Geospatial(Included with Streams)

Geospatial(Included with Streams)

Predictive(Included with Streams)

Predictive(Included with Streams)

Advanced Mathematical Models(Included with Streams)

Advanced Mathematical Models(Included with Streams)

Statistics(included with Streams)

Statistics(included with Streams)

population

tt asR ),(

***New******New***

***New******New***

***New******New***

Blue = included with the product

Red = built for Streams and used in projects but not yet part of the product

Blue = included with the product

Red = built for Streams and used in projects but not yet part of the product


Dublin City Centre Increases Bus Transportation

Performance

Dublin City Centre Increases Bus Transportation

Performance

• Public transportation awareness solution improves on-time performance and provides real-time bus arrival info to riders

• Continuously analyzes bus location data to infer traffic conditions and predict arrivals

• Collects, processes, and visualizes location data of all bus vehicles

• Automatically generates transportation routes and stop locations

Results:• Monitoring 600 buses across 150 routes

• Analyzing 50 bus locations per second

• Anticipated to Increase bus ridership

Capabilities Utilized:

Stream Computing


University of Ontario Institute of Technology

(UOIT) Detects Neonatal Patient Symptoms Sooner

University of Ontario Institute of Technology

(UOIT) Detects Neonatal Patient Symptoms Sooner

• Performing real-time analytics using physiological data from neonatal babies

• Continuously correlates data from medical monitors to detect subtle changes and alert hospital staff sooner

• Early warning gives caregivers the ability to proactively deal with complications

Significant benefits:

• Helps detect life threatening conditions up to 24 hours sooner

• Lower morbidity and improved patient care

Capabilities Utilized:

Stream Computing

“Helps detect life threatening conditions up to 24 hours sooner”


Asian Telco reduces billing costs and improves customer satisfaction

Asian Telco reduces billing costs and improves customer satisfaction

Capabilities:

Stream ComputingAnalytic Accelerators

Real-time mediation and analysis of

5B CDRs per day

Data processing time reduced from 12 hrs to 1 min

Hardware cost reduced to 1/8th

Proactively address issues (e.g. dropped calls) impacting customer satisfaction.


IBM Accelerator for Telco Event Data Analytics • Telcos• Campaign management, real-time promotion, fraud detection, service

assurance and network monitoring, • Ships with Streams v3, but works with BigInsights or PureSparta for

Analytics (a.k.a. Netezza)

IBM Accelerator for Telco Event Data Analytics • Telcos• Campaign management, real-time promotion, fraud detection, service

assurance and network monitoring, • Ships with Streams v3, but works with BigInsights or PureSparta for

Analytics (a.k.a. Netezza)

IBM Accelerator for Social Data Analytics

• B2C businesses

• Sample applications: Customer acquisition / retention, Customer Segmentation or Micro Segmentation, Marketing Campaign Optimization, Lead generation, Brand Management or Surveillance

• Ships with BigInsights v2 and Streams v3

IBM Accelerator for Social Data Analytics

• B2C businesses

• Sample applications: Customer acquisition / retention, Customer Segmentation or Micro Segmentation, Marketing Campaign Optimization, Lead generation, Brand Management or Surveillance

• Ships with BigInsights v2 and Streams v3

IBM Accelerator for Machine Data Analytics• Cross-industry: manufacturing, oil & gas, energy and utility, healthcare,

travel and transportation, CPG, Retail, etc.• Operational efficiency monitoring, security incident investigation.

proactive maintenance, troubleshooting, outage prevention, efficiency tracking, etc

• Ships with BigInsights v2

IBM Accelerator for Machine Data Analytics• Cross-industry: manufacturing, oil & gas, energy and utility, healthcare,

travel and transportation, CPG, Retail, etc.• Operational efficiency monitoring, security incident investigation.

proactive maintenance, troubleshooting, outage prevention, efficiency tracking, etc

• Ships with BigInsights v2

3 Accelerators BigInsights and Streams are Faster to Deploy


Without a Big Data PlatformYou Code… IBM Big Data Platform

Multithreading

Custom SQLand

Scripts

PerformanceOptimization

Debug

ApplicationManagement

EventHandling

Connectors

CheckPointing

Security

HAAccelerators

and

Toolkits


Putting it All Together …End-to-End Big Data Solution

PureData System

InfoSphere BigInsights IBM Cognos

IBM SPSS

Streaming Data Sources

Discover

ModelVisualize & Publish

Score

Measure

InfoSphere Streams


InfoSphere Data Explorer


Go Further and Faster with IBM

Resources

Accelerated Discovery LabAccelerated Discovery Lab EcosystemEcosystem

Analytics Solution Centers Analytics Solution Centers

Expertise Expertise

99KKConsultants

3030KKEngagements

2,5002,500

Academic InitiativeAcademic Initiative

1,001,0000Partnerships

Business Partners


Value Proposition for ISVs

• Obtain a solid enterprise ready platform to integrate with their applications or solutions

• Enhance and expand their solutions by leveraging IBM Big Data Platform and thus open up new business and revenue opportunities

• Joint go-to-market Opportunities Have access to IBM accounts they wouldn’t normally have

• Make profit by via ASL or OEM agreement• Take advantage of capabilities of Streams and BigInsights for scalability,

security, analytics, and integration with the rest of the information agenda infrastructure

• Leverage IBM’s partner ecosystem of ISV and System Integration partners to quickly expand business globally


Big Data Micro Site – Partner Profiles

Main Microsite Link– www.ibm.com/software/data/bigdata

Microsite Click Through To BP Detailed Page– http://www.ibm.com/software/data/bigdata/business-partners-profiles.html


IBM Big Data Partner Program Enrollment Process

1) Become a member of PartnerWorld, if you are not already– https://www-304.ibm.com/partnerworld/wps/servlet/ContentHandler/pw_com_jnw_joinallBPs

2) Send a “letter of intent” via email to Niu Bai [email protected], stating that you intend to integrate your solution with Streams and/or BigInsights.

3) Download Streams and/or BigInsights Quick Start Editions– http://www-01.ibm.com/software/data/infosphere/biginsights/quick-start/– http://www-01.ibm.com/software/data/infosphere/streams/quick-start/

4) Please fill out the partner information template and send them back to [email protected] once completed Then get exposure on dedicated IBM Big Data Partner Website, connected to IBM

Big Data Sales and Ecosystem Development Teams, and joint marketing etc.

5) Attend the free Big Data bootcampshttps://www.ibm.com/developerworks/community/wikis/home?lang=en#!/wiki/

Information+Management/page/Big+Data+Fundamentals+Bootcamp

6) Integrate your software solution with Streams and/or BigInsights and/or develop a offering around Streams/BigInsights–


Key Web Site Links IBM big data Microsite

– http://www-01.ibm.com/software/data/bigdata/

IBM big data Linkedin Group– http://www.linkedin.com/groups/IBM-big-data-4014567?trk=myg_ugrp_ovr

IBM big data channel on YouTube– http://www.youtube.com/user/ibmbigdata

Training/Education Link– http://www-03.ibm.com/certify/partner/pub/zz/mem_skillsreq.shtml

Big Data University– http://bigdatauniversity.com/

Big Data Hub– http://www.ibmbigdatahub.com/

Key Blogs– Bruce Weed’s Blog on big data

• http://bruceweed.wordpress.com/

– IBM Smarter Computing Blog• http://www.smartercomputingblog.com/category/big-data/

Join the conversation on our Information Management Business Partner Blog

Follow us on Twitter: InfoMgmt Partner IBM Big Data


Thank You

MerciGrazie

Gracias

Obrigado

Danke

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